{"meta":{"query_hash":"75a32b4cbfc8","filters":{"topic":"Artificial Intelligence in Education"},"cohort_total":98,"direct_labels_cover":0,"predictions_cover":98,"exported":98,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/75a32b4cbfc8","api":"https://metacan.xera.ac/api/v1/cohort?topic=Artificial+Intelligence+in+Education"},"results":[{"id":"W1546306263","doi":"10.1007/978-3-642-30618-1","title":"Information Processing in Computer-Assisted Interventions","year":2012,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Information processing; Human–computer interaction","score_opus":0.044899384452129674,"score_gpt":0.32451450985239483,"score_spread":0.2796151254002652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546306263","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038264322,0.000392652,0.9928922,0.00062472734,0.0041580363,0.00054766174,0.0000026278212,0.00019288652,0.00080657296],"genre_scores_gemma":[0.3719091,0.000017665056,0.6256216,0.0011162875,0.0010493458,0.000060258215,0.00004322061,0.000028903007,0.00015358483],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962315,0.00010847182,0.001170357,0.0007378459,0.0008986127,0.0008532461],"domain_scores_gemma":[0.9974621,0.00026589946,0.0006214974,0.0010525234,0.00041902854,0.0001789487],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001630666,0.0004486988,0.0004617331,0.0019411356,0.00027574613,0.001178343,0.0032706775,0.0003500009,0.000017518674],"category_scores_gemma":[0.00016697147,0.0004537667,0.00015959812,0.0024382828,0.0004715822,0.0047982815,0.00112582,0.0009377553,0.00018214206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019753659,0.00011692811,0.00021072074,0.00014434376,0.000002135862,0.0000039442984,0.0057948097,0.023440536,0.000011531337,0.0009229716,0.00008159636,0.9692685],"study_design_scores_gemma":[0.0001304849,0.00012561695,0.0029163556,0.0019454764,0.00000851629,0.00006267492,0.000003247051,0.9556726,0.00045824228,0.036633752,0.0013023994,0.0007406059],"about_ca_topic_score_codex":0.00007061041,"about_ca_topic_score_gemma":0.00027502183,"teacher_disagreement_score":0.9685279,"about_ca_system_score_codex":0.0013677072,"about_ca_system_score_gemma":0.0017355882,"threshold_uncertainty_score":0.99985856},"labels":[],"label_agreement":null},{"id":"W1998785137","doi":"10.1007/s10664-008-9063-y","title":"Triangulation as a basis for knowledge discovery in software engineering","year":2008,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software engineering; Triangulation; Basis (linear algebra); Data science; Cartography; Mathematics; Geography","score_opus":0.05327967590589569,"score_gpt":0.3145633665390798,"score_spread":0.26128369063318413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998785137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3001591,0.00018574463,0.6980349,0.00013451945,0.0007800966,0.00025447077,0.0000024370759,0.00044195264,0.0000067888272],"genre_scores_gemma":[0.81834286,0.0000092443115,0.1808414,0.00006981952,0.00032267184,0.00017984037,0.000009235014,0.000039609222,0.00018530824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839485,0.000020857655,0.00043401093,0.0004689371,0.00021282272,0.00046853552],"domain_scores_gemma":[0.9978148,0.0015209373,0.000057867714,0.0003833625,0.000090153175,0.00013292683],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025592285,0.0002350374,0.0002554971,0.00032523088,0.000104877334,0.00009521798,0.00048909045,0.00013925682,0.000010299129],"category_scores_gemma":[0.0058568297,0.0002559698,0.00013247402,0.0008982507,0.000018124456,0.0010097749,0.00011869147,0.00021282348,0.00006195061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006529497,0.00081567746,0.20565066,0.0003919132,0.000083206505,0.00008143189,0.02396342,0.71947455,0.0014962916,0.0054248283,0.0032299869,0.039322745],"study_design_scores_gemma":[0.00063352427,0.0002647145,0.22950624,0.00038233516,0.000019969035,0.00010339056,0.000098427765,0.7291818,0.015722835,0.0011587847,0.021353574,0.0015743935],"about_ca_topic_score_codex":0.000032013533,"about_ca_topic_score_gemma":0.000008343844,"teacher_disagreement_score":0.51818377,"about_ca_system_score_codex":0.0003541365,"about_ca_system_score_gemma":0.00016796173,"threshold_uncertainty_score":0.9999893},"labels":[],"label_agreement":null},{"id":"W2552260554","doi":"","title":"HUBUNGAN ANTARA LINGKAR PERUT DAN FUNGSI KOGNITIF PADA PENDERITA DIABETES MELITUS TIPE 2 DI WILAYAH KERJA PUSKESMAS PURNAMA KOTA PONTIANAK","year":2016,"lang":"id","type":"article","venue":"Jurnal Mahasiswa PSPD FK Universitas Tanjungpura","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology","score_opus":0.019765101559726935,"score_gpt":0.23876710546230143,"score_spread":0.2190020039025745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552260554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93716675,0.003914997,0.011589787,0.021105278,0.009438404,0.0012803815,0.00021789558,0.00058149535,0.014705014],"genre_scores_gemma":[0.9895048,0.001234397,0.0014063744,0.00052480254,0.0018029037,0.000013503632,0.000050560346,0.00016815901,0.005294479],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9903043,0.00077458064,0.0016899905,0.0024649452,0.002029922,0.0027362474],"domain_scores_gemma":[0.99210906,0.0010457523,0.0014276997,0.0024188184,0.0015194387,0.0014792215],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0010652548,0.0014791946,0.0012736475,0.0011646021,0.0020035098,0.001518294,0.0046054805,0.0007956901,0.0011970376],"category_scores_gemma":[0.00074789795,0.0013773626,0.0008666473,0.0021245992,0.0011422153,0.0053962423,0.0014792323,0.0013166072,0.0019839427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015200215,0.005963925,0.21111253,0.0007896797,0.004237748,0.0049812095,0.033836156,0.0003669621,0.181221,0.04856822,0.067534335,0.4398682],"study_design_scores_gemma":[0.009696617,0.009284075,0.21475036,0.011248017,0.0066677285,0.0021351087,0.09841741,0.02914626,0.3071938,0.014417308,0.27648625,0.02055709],"about_ca_topic_score_codex":0.0002783827,"about_ca_topic_score_gemma":0.00025677556,"teacher_disagreement_score":0.41931114,"about_ca_system_score_codex":0.0018697034,"about_ca_system_score_gemma":0.0016086345,"threshold_uncertainty_score":0.99979573},"labels":[],"label_agreement":null},{"id":"W2568865248","doi":"10.5840/techne2005917","title":"The Technical Codes of Online Education","year":2005,"lang":"en","type":"article","venue":"Techné Research in Philosophy and Technology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.10100299830957833,"score_gpt":0.43477900417386256,"score_spread":0.33377600586428424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568865248","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29756248,0.007029853,0.011943887,0.6633923,0.00039839477,0.0015456578,0.000007961496,0.0008703789,0.017249094],"genre_scores_gemma":[0.9824594,0.0005442859,0.01672424,0.000040166065,0.000088424706,0.000102084785,0.0000013883479,0.0000055427386,0.00003442145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99869925,0.00007674879,0.00032154986,0.0002966052,0.00029005887,0.0003157609],"domain_scores_gemma":[0.9985016,0.00035883582,0.000062827305,0.0007359198,0.00030193463,0.00003885873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011850782,0.000078990066,0.00011828262,0.0008697526,0.00021083844,0.00003517203,0.0013329841,0.00019670112,0.0000021911053],"category_scores_gemma":[0.000509088,0.000061510415,0.000016408885,0.002320523,0.0011533997,0.00020160415,0.0004880306,0.0006459785,0.00001422458],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028567401,0.00019823748,0.0004032278,0.0000050953586,0.0000012114416,4.1162244e-7,0.000030545107,0.0000012883382,0.002305649,0.64557946,0.00016733068,0.35130465],"study_design_scores_gemma":[0.000033475582,0.0001283255,0.0002590163,0.000048334397,6.607175e-7,0.000019081659,0.00018204958,0.0010802933,0.027089456,0.96137714,0.009717564,0.00006458038],"about_ca_topic_score_codex":0.000036223064,"about_ca_topic_score_gemma":0.00015892519,"teacher_disagreement_score":0.684897,"about_ca_system_score_codex":0.00008935873,"about_ca_system_score_gemma":0.0002966679,"threshold_uncertainty_score":0.42497492},"labels":[],"label_agreement":null},{"id":"W2604522770","doi":"10.5430/ijhe.v6n2p147","title":"Matrix Tests as a Means of the Students’ Level of Logical Thinking Diagnosis","year":2017,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ural Federal University; Ministry of Education and Science of the Russian Federation","keywords":"Logical reasoning; Mathematics education; Computer science; Logical conjunction; Scientific reasoning; Test (biology); Matrix (chemical analysis); Management science; Psychology; Engineering","score_opus":0.12555568962593636,"score_gpt":0.4561488455751431,"score_spread":0.3305931559492068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604522770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616068,0.00020770705,0.0102737285,0.014943261,0.0117021855,0.000121403275,0.0000036922022,0.000006047067,0.0011351503],"genre_scores_gemma":[0.991025,0.000038943916,0.0074016037,0.00017540807,0.00047403687,0.0000066280727,5.286087e-7,0.000005346096,0.0008725113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980004,0.00007466003,0.00059949287,0.00012553664,0.0011091414,0.000090794834],"domain_scores_gemma":[0.9960554,0.0002020378,0.0016720084,0.00045377275,0.0015703314,0.00004645315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005359899,0.000086207365,0.0001417235,0.00014448933,0.00012362591,0.0002413438,0.004316333,0.000052110954,0.00011424018],"category_scores_gemma":[0.0005148439,0.00006169708,0.00013963757,0.00009311518,0.00012797014,0.00085798453,0.00031588838,0.00015600797,0.000012888062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003161367,0.0017261843,0.69733953,0.000015288993,0.00016215505,0.0000034287496,0.0047378577,0.0002663595,0.0027383144,0.24962483,0.003908188,0.039446224],"study_design_scores_gemma":[0.00009891839,0.0000749696,0.88653296,0.00025310242,0.000021405038,0.000039409148,0.0001773031,0.00004690932,0.02386508,0.08557801,0.0032374426,0.00007451226],"about_ca_topic_score_codex":0.00023497935,"about_ca_topic_score_gemma":0.000018329867,"teacher_disagreement_score":0.18919338,"about_ca_system_score_codex":0.00013696631,"about_ca_system_score_gemma":0.00045702033,"threshold_uncertainty_score":0.8020893},"labels":[],"label_agreement":null},{"id":"W2945210458","doi":"","title":"[VOIR-FILM] Regarder Acts of Violence en Streaming Français VF","year":2019,"lang":"fr","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer security; Art; Political science; Computer science","score_opus":0.02083229600420546,"score_gpt":0.28041166062888656,"score_spread":0.2595793646246811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945210458","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016201206,0.000035715268,0.091833085,0.00067678984,0.004360881,0.0019433273,0.000028729288,0.0001894646,0.8847308],"genre_scores_gemma":[0.19192159,0.00065792573,0.011888142,0.000140749,0.0004274528,0.00015165254,0.000015047468,0.0002164233,0.794581],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98977095,0.0015746806,0.0017000074,0.004668192,0.0011804663,0.0011057229],"domain_scores_gemma":[0.9851928,0.0020845537,0.0015574868,0.010006873,0.00073102996,0.00042725945],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052409596,0.0009553179,0.0011951867,0.0005417307,0.00023238616,0.00034719423,0.005963259,0.0012244101,0.6119447],"category_scores_gemma":[0.0068053515,0.0011336112,0.00051272364,0.0007536288,0.0006831749,0.00083961064,0.0040382333,0.0013838158,0.90312624],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014165623,0.0024445925,0.038037684,0.0016870907,0.00082153693,0.00006165987,0.05313933,0.018435795,0.013530775,0.09336786,0.03454844,0.7437836],"study_design_scores_gemma":[0.0003959735,0.000010303261,0.018163066,0.005930426,0.00025252823,0.00007867388,0.0012478044,0.032155152,0.08920036,0.013946556,0.83659315,0.0020259882],"about_ca_topic_score_codex":0.0035601233,"about_ca_topic_score_gemma":0.00048592075,"teacher_disagreement_score":0.80204475,"about_ca_system_score_codex":0.0006510236,"about_ca_system_score_gemma":0.0012738779,"threshold_uncertainty_score":0.999415},"labels":[],"label_agreement":null},{"id":"W2974116910","doi":"10.22329/celt.v12i0.5295","title":"Train Wrecks","year":2019,"lang":"en","type":"article","venue":"Collected Essays on Learning and Teaching","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","score_opus":0.011196339715879506,"score_gpt":0.2735488838490868,"score_spread":0.2623525441332073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974116910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543867,0.000045209268,0.0951994,0.0008506913,0.0006257981,0.00017065523,1.9700512e-7,0.00039103947,0.1483303],"genre_scores_gemma":[0.9838501,0.0000047327785,0.0059867934,0.00012931357,0.00006107875,0.0000073988476,0.0000017389483,0.000010487974,0.009948347],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998879,0.0002558478,0.00014895886,0.00033704625,0.000160508,0.00021864465],"domain_scores_gemma":[0.99925447,0.00037582064,0.00007074311,0.00019673212,0.000035469046,0.00006679506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005610493,0.00010642178,0.0001167169,0.00014867206,0.00044137382,0.00022460584,0.00025238623,0.000063009575,0.000047624617],"category_scores_gemma":[0.0004342752,0.00010345784,0.000027509217,0.00019015439,0.000020170295,0.00021238036,0.000060416314,0.00062417035,0.00018184273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022025533,0.00016248562,0.013565969,0.000022988057,0.00002544557,0.000005973076,0.01980344,0.0039332146,0.0072246757,0.37686738,0.0011743385,0.57719207],"study_design_scores_gemma":[0.0005634934,0.0012342117,0.010299426,0.0003383097,0.000015546324,0.000054690525,0.0040721404,0.84287965,0.005711221,0.020465245,0.11327292,0.0010931289],"about_ca_topic_score_codex":0.000044741122,"about_ca_topic_score_gemma":0.0000047163985,"teacher_disagreement_score":0.83894646,"about_ca_system_score_codex":0.00004688705,"about_ca_system_score_gemma":0.00005590991,"threshold_uncertainty_score":0.42188883},"labels":[],"label_agreement":null},{"id":"W3012940397","doi":"10.32370/ia_2020_01_13","title":"Teaching Fractions in a Course Basic College Mathematics","year":2020,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Face (sociological concept); Teaching method; Mathematics; Sociology","score_opus":0.052137763017019785,"score_gpt":0.3140355951460829,"score_spread":0.26189783212906315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012940397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061298165,0.000022003424,0.91363055,0.010167095,0.0002961101,0.0002594921,0.000008879807,0.00016249657,0.01415519],"genre_scores_gemma":[0.9356143,0.0000057537713,0.0628581,0.0011516317,0.00015058686,0.00003055087,0.0000025813874,0.000012993331,0.00017352217],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875635,0.000121781966,0.00033012513,0.0003308987,0.00020292176,0.00025794527],"domain_scores_gemma":[0.9979255,0.0015449097,0.00007388877,0.00028169414,0.000038832706,0.00013517016],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020134516,0.00013015435,0.00015474125,0.00012223276,0.00015128676,0.000065694825,0.0007206081,0.00003629454,0.00014069822],"category_scores_gemma":[0.001560307,0.00013096479,0.000057439367,0.0004550475,0.00007393415,0.00031775766,0.00019693888,0.00048620845,0.0011095168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002770817,0.001022099,0.00026847533,0.000039749233,0.00003843015,0.00004786751,0.58703667,0.0015196257,0.0047359644,0.3147973,0.033020157,0.057445936],"study_design_scores_gemma":[0.00008520782,0.00021665065,0.00016131255,0.00005811192,0.000007998661,0.00002876336,0.010568193,0.86761606,0.0052146404,0.09949028,0.016258769,0.00029402177],"about_ca_topic_score_codex":0.00014686347,"about_ca_topic_score_gemma":0.00015229126,"teacher_disagreement_score":0.8743161,"about_ca_system_score_codex":0.000058628797,"about_ca_system_score_gemma":0.00018365236,"threshold_uncertainty_score":0.99966824},"labels":[],"label_agreement":null},{"id":"W3092443300","doi":"10.18162/ritpu-2020-v17n1-03","title":"Qu’est-ce que le Cadre de référence de la compétence numérique?","year":2020,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.05087721804635254,"score_gpt":0.2972511066290424,"score_spread":0.24637388858268988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092443300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21195124,0.004345865,0.65561384,0.112261444,0.0006802942,0.00033209077,0.000042648026,0.0015616444,0.013210937],"genre_scores_gemma":[0.93122613,0.0043626367,0.04822426,0.00030404565,0.00020362464,0.000017448561,0.000010501905,0.000032686217,0.015618682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747264,0.00031651062,0.00041445543,0.00080145185,0.00031841642,0.0006765036],"domain_scores_gemma":[0.9972879,0.0011102486,0.0002970971,0.00062498864,0.00049627974,0.00018344837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043757257,0.00035807834,0.0003071441,0.00026019866,0.0003899611,0.00033614293,0.0036969958,0.0005898349,0.00007406802],"category_scores_gemma":[0.0028845095,0.00046987302,0.0001832486,0.0010167988,0.0015389089,0.0017006417,0.0012111015,0.0009246004,0.00020504717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031398835,0.00033074137,0.012775929,0.0002666929,0.0001224614,0.000941567,0.03347678,0.01578666,0.004248098,0.531577,0.0074721696,0.3929705],"study_design_scores_gemma":[0.00041423074,0.00064444524,0.0030887662,0.0017515885,0.00006352868,0.0014034482,0.12965813,0.33101633,0.07713914,0.11683293,0.33646554,0.0015219391],"about_ca_topic_score_codex":0.0015409462,"about_ca_topic_score_gemma":0.0002905477,"teacher_disagreement_score":0.7192749,"about_ca_system_score_codex":0.0016558277,"about_ca_system_score_gemma":0.0018638473,"threshold_uncertainty_score":0.9997753},"labels":[],"label_agreement":null},{"id":"W3202158794","doi":"10.2139/ssrn.3506627","title":"Impact of Artificial Intelligence in the Field of Education","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Field (mathematics); Political science; Artificial intelligence; Computer science; Mathematics","score_opus":0.016783184056164326,"score_gpt":0.3559191000345143,"score_spread":0.33913591597835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202158794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7558753,0.00024993697,0.24210149,0.00073661393,0.00039564056,0.000128041,1.4120855e-7,0.0000039734127,0.0005088904],"genre_scores_gemma":[0.9990313,0.00016600483,0.00061785826,0.00005557544,0.00008233111,0.0000028457887,3.441831e-7,0.0000034427578,0.000040289968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99852276,0.000112800284,0.00041823782,0.00012412747,0.00023767087,0.0005844058],"domain_scores_gemma":[0.99897397,0.00026653038,0.00026186826,0.0003288343,0.00014838818,0.000020397405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016529502,0.00007468558,0.00011610566,0.00018542424,0.00003188261,0.000033340715,0.0009801954,0.00004468302,0.00003271352],"category_scores_gemma":[0.00019218861,0.000052397827,0.0001040974,0.0005700727,0.00002690339,0.0003302241,0.000031354968,0.00064585416,0.00002752463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015631107,0.0002534653,0.007921782,0.000003511781,0.000013311572,9.485479e-8,0.002216141,0.0005977994,0.0012967101,0.58135706,0.000029022498,0.40629545],"study_design_scores_gemma":[0.000017213057,0.0009053962,0.0055951625,0.000032804805,0.0000048016236,0.000060384184,0.005416998,0.00637084,0.006916045,0.9745677,0.000020547292,0.00009210924],"about_ca_topic_score_codex":0.0004891905,"about_ca_topic_score_gemma":0.00032373407,"teacher_disagreement_score":0.40620333,"about_ca_system_score_codex":0.0003003282,"about_ca_system_score_gemma":0.0037840009,"threshold_uncertainty_score":0.67126554},"labels":[],"label_agreement":null},{"id":"W3211649106","doi":"10.51889/2021-3.2077-6861.12","title":"Implementation of an oral dialogue based on a neural network of artificial intelligence in the online platform in secondary school","year":2021,"lang":"en","type":"article","venue":"Pedagogy and Psychology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Face (sociological concept); Quality (philosophy); Mathematics education; Online learning; Artificial intelligence; Quarter (Canadian coin); Multimedia; Psychology; Sociology","score_opus":0.10339765890669615,"score_gpt":0.4532171633272525,"score_spread":0.3498195044205563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211649106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96202236,0.00007525949,0.034371577,0.0027104663,0.0005036627,0.0001382881,0.000006704487,0.0000063892135,0.00016529438],"genre_scores_gemma":[0.9933494,0.000017255315,0.0047442387,0.0017598848,0.00008117185,0.000012122536,0.000031262913,0.0000033581107,0.0000013114782],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99870044,0.0002831841,0.0004578066,0.00026988267,0.0001012227,0.00018745469],"domain_scores_gemma":[0.9991885,0.0002647239,0.00012145631,0.00033465924,0.00005925521,0.000031416523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000636314,0.0000817752,0.00015396431,0.00010805449,0.000031018248,0.000015530555,0.00032618686,0.00007546685,0.0001129384],"category_scores_gemma":[0.00006309377,0.000071864226,0.000024119123,0.0004868805,0.00009576631,0.0001900484,0.000031353786,0.000232448,0.00000287689],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103274906,0.00057847204,0.027901301,0.000011141625,0.0000035611524,0.00001819071,0.004784382,0.0037739885,0.0004294977,0.022952463,0.000049544225,0.9393942],"study_design_scores_gemma":[0.00022712062,0.0009776785,0.7519282,0.000026045209,0.000006920727,0.000033907676,0.0063533857,0.13137107,0.0042355233,0.10449977,0.00015218747,0.0001881642],"about_ca_topic_score_codex":0.00047004237,"about_ca_topic_score_gemma":0.018839888,"teacher_disagreement_score":0.939206,"about_ca_system_score_codex":0.0000133211815,"about_ca_system_score_gemma":0.00022782672,"threshold_uncertainty_score":0.99906373},"labels":[],"label_agreement":null},{"id":"W3217772195","doi":"10.32517/2221-1993-2021-20-7-20-26","title":"Native and foreign approaches to teaching coding at school","year":2021,"lang":"en","type":"article","venue":"Informatics in school","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coding (social sciences); Curriculum; Irish; Mathematics education; Informatics; Pedagogy; Psychology; Medical education; Political science; Sociology; Medicine; Social science","score_opus":0.12851173028007024,"score_gpt":0.31497348901727257,"score_spread":0.18646175873720233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217772195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39398065,0.00005230717,0.5449466,0.0009681631,0.00030062735,0.00031143668,0.0000016729269,0.00007895354,0.05935956],"genre_scores_gemma":[0.8113017,0.000009113568,0.18743888,0.0008231049,0.00005642885,0.000038471306,0.000002769198,0.0000059115737,0.00032362633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871796,0.00006645608,0.0004983625,0.00017620767,0.00027358154,0.00026744936],"domain_scores_gemma":[0.99896735,0.00021786046,0.00011040972,0.0004103026,0.00007836294,0.00021571005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007731859,0.00012263974,0.00014246248,0.00019235081,0.00020753307,0.00036866227,0.00044610447,0.000064482934,0.000032707245],"category_scores_gemma":[0.0018085118,0.0001251659,0.000025151869,0.0003883924,0.00003012681,0.0014698306,0.00059102644,0.00034203051,0.00028821244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013348252,0.00014789109,0.044098362,0.00013849647,0.000030728446,0.000016940625,0.08906626,0.006919385,0.00044075897,0.75390226,0.004607415,0.10061815],"study_design_scores_gemma":[0.00039753766,0.00012425629,0.012727326,0.00047372008,0.000012141464,0.00016175481,0.053685505,0.7639805,0.045532774,0.1131751,0.008664839,0.0010645498],"about_ca_topic_score_codex":0.000017863224,"about_ca_topic_score_gemma":0.00004352202,"teacher_disagreement_score":0.7570611,"about_ca_system_score_codex":0.00033687122,"about_ca_system_score_gemma":0.0001864661,"threshold_uncertainty_score":0.5104117},"labels":[],"label_agreement":null},{"id":"W4246557849","doi":"10.21432/cjlt28064","title":"Editorial Volume 46 Issue 2","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Athabasca University; Université de Sherbrooke","funders":"","keywords":"Volume (thermodynamics); Psychology; Mathematics education; Physics","score_opus":0.011316379188019957,"score_gpt":0.24689844103683165,"score_spread":0.2355820618488117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246557849","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.260514,0.0027288157,0.21781178,0.38753197,0.12890927,0.00016001199,0.0000013228448,0.00026577135,0.0020770638],"genre_scores_gemma":[0.9841098,0.000015275155,0.0032838646,0.000094662224,0.012344796,4.627457e-7,1.3350306e-7,0.0000045707516,0.00014643343],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947983,0.000025974763,0.00016278782,0.00009917656,0.00007257552,0.00015963623],"domain_scores_gemma":[0.99932975,0.000023246062,0.000115888884,0.00006570026,0.00019489386,0.00027052627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015030763,0.000049558985,0.000097490905,0.00023456,0.0001307756,0.00006912389,0.00036698123,0.00011125937,0.000044290668],"category_scores_gemma":[0.000833253,0.000050191873,0.000016485623,0.00038400549,0.00009736321,0.00014793724,0.000022630882,0.00046372067,0.00006268904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064999927,0.00001159729,0.10430852,0.000012442871,0.00003501477,0.00013807385,0.0072363485,0.00030364064,0.0014926634,0.022896169,0.40415213,0.4594069],"study_design_scores_gemma":[0.000035098165,0.00025032883,0.000039039925,0.000008934702,0.0000031023644,0.00006688497,0.00092368026,0.0020421604,0.00072121253,0.0024992167,0.99335,0.00006029568],"about_ca_topic_score_codex":0.00022346231,"about_ca_topic_score_gemma":0.00023082885,"teacher_disagreement_score":0.7235958,"about_ca_system_score_codex":0.000032409156,"about_ca_system_score_gemma":0.00055184384,"threshold_uncertainty_score":0.20467652},"labels":[],"label_agreement":null},{"id":"W4251416039","doi":"10.7202/1043167ar","title":"Thesis Survey","year":2017,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.12152293080750302,"score_gpt":0.3525396561079604,"score_spread":0.23101672530045736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251416039","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07749861,0.00011343225,0.25271976,0.011862274,0.013699712,0.00022581196,0.000018811636,0.00019960546,0.643662],"genre_scores_gemma":[0.9925826,0.000016057873,0.006904698,0.00016482415,0.00018568613,0.0000013175446,2.2740308e-7,0.000005562851,0.00013903376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913013,0.00010808477,0.00018971418,0.00014802675,0.00021844571,0.00020560595],"domain_scores_gemma":[0.99865794,0.0001024542,0.00023170564,0.00070362195,0.00018998852,0.000114263894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011064545,0.0000716074,0.00008423171,0.000030505475,0.005818946,0.00074812165,0.0017535874,0.000036345267,0.00006202152],"category_scores_gemma":[0.00037948016,0.000060314982,0.000050201463,0.000040869254,0.000081150254,0.0011042695,0.0001599148,0.00017023734,0.0003254024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006560891,0.00009822948,0.00831614,0.0000017456749,0.000021492513,0.000029464414,0.00021922248,0.000056844714,0.00014986606,0.7219899,0.0012940409,0.26781645],"study_design_scores_gemma":[0.00017616672,0.00016016174,0.30434406,0.00006320453,0.000013368096,0.00055889064,0.000108245855,0.009012843,0.057996277,0.11320166,0.51369727,0.0006678447],"about_ca_topic_score_codex":0.0018291642,"about_ca_topic_score_gemma":0.006294138,"teacher_disagreement_score":0.915084,"about_ca_system_score_codex":0.000050726216,"about_ca_system_score_gemma":0.000011986052,"threshold_uncertainty_score":0.99547535},"labels":[],"label_agreement":null},{"id":"W4298366883","doi":"","title":"Information Processing in Computer-Assisted Interventions--6th International Conference 2015. Preface.","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Biotech (Canada)","funders":"","keywords":"Computer science; Psychological intervention; Library science; Data science; Psychology","score_opus":0.06041372965381615,"score_gpt":0.3189046849546517,"score_spread":0.25849095530083555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298366883","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015968243,0.00032140242,0.9532379,0.013866574,0.001374727,0.00056892686,0.000024623536,0.00033496192,0.014302672],"genre_scores_gemma":[0.7897484,0.0001361782,0.2084058,0.00010474098,0.00005124911,0.00014371576,0.0005629683,0.000020770376,0.00082622067],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946144,0.0024484221,0.0011981266,0.00065839733,0.0007080872,0.00037256387],"domain_scores_gemma":[0.99135697,0.00028228754,0.0010962203,0.001718394,0.0053514075,0.00019472135],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005818491,0.00035618036,0.00036449704,0.0006288624,0.00019980023,0.0019228985,0.0034041603,0.0003175947,0.000086105814],"category_scores_gemma":[0.0011160383,0.00040660173,0.00018666044,0.0006367256,0.00018340115,0.0019193297,0.0026657416,0.000790631,0.00015131701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013118927,0.0011491539,0.0016223148,0.00035405048,0.00004201324,0.000003493012,0.05299354,0.0029428937,0.00016035012,0.07425027,0.0032189777,0.86324984],"study_design_scores_gemma":[0.0003362217,0.0000013428023,0.004222953,0.004828821,0.00001841587,0.000017989254,0.0006052387,0.95651394,0.0034096316,0.024984773,0.0044305422,0.00063012866],"about_ca_topic_score_codex":0.0010631362,"about_ca_topic_score_gemma":0.0016275892,"teacher_disagreement_score":0.953571,"about_ca_system_score_codex":0.0005379168,"about_ca_system_score_gemma":0.0011164014,"threshold_uncertainty_score":0.9998386},"labels":[],"label_agreement":null},{"id":"W4300721790","doi":"10.1007/978-3-642-13711-2","title":"Information Processing in Computer-Assisted Interventions","year":2010,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Computer science; Information processing; Human–computer interaction","score_opus":0.03390074207375771,"score_gpt":0.31916063170963477,"score_spread":0.28525988963587706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300721790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00070554006,0.00013140959,0.99200857,0.00088238437,0.00475199,0.00056570023,0.0000028546037,0.0002058594,0.0007457095],"genre_scores_gemma":[0.2233582,0.000013123354,0.77426213,0.0012209717,0.0008614874,0.00005854062,0.000041655254,0.000028721022,0.00015515136],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962232,0.00008494182,0.0011862497,0.00087927416,0.00090576865,0.0007205455],"domain_scores_gemma":[0.99723184,0.0002812031,0.00062871625,0.0011903966,0.0005115759,0.00015628352],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014931187,0.0004518943,0.00046385342,0.002065019,0.00030439123,0.0015393448,0.003847784,0.00047882952,0.000016839855],"category_scores_gemma":[0.00024379982,0.0004583558,0.00016270683,0.0024256173,0.0005949413,0.003666855,0.0011276985,0.0015715003,0.00013029804],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020057003,0.000095343814,0.00009793205,0.00011748858,0.0000016956269,0.000007162732,0.0040828185,0.02096676,0.000039844123,0.0008337373,0.00006831823,0.9736869],"study_design_scores_gemma":[0.00011774708,0.00012322995,0.0014530008,0.0014176128,0.000005302154,0.000058141894,0.0000020253692,0.94046575,0.0007172657,0.05386024,0.0011678216,0.00061183725],"about_ca_topic_score_codex":0.000087816996,"about_ca_topic_score_gemma":0.00089673826,"teacher_disagreement_score":0.97307503,"about_ca_system_score_codex":0.0009051364,"about_ca_system_score_gemma":0.0023471415,"threshold_uncertainty_score":0.9997868},"labels":[],"label_agreement":null},{"id":"W4366779921","doi":"10.32370/ia_2023_03_7","title":"Mathematical Models as a Key to Effective Teaching of Set Theory at Undergraduate Level","year":2023,"lang":"en","type":"article","venue":"Intellectual Archive","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Key (lock); Computer science; Set theory; Mathematics education; Mathematical theory; Management science; Mathematics; Engineering; Programming language","score_opus":0.0818788598497747,"score_gpt":0.3439911334544623,"score_spread":0.2621122736046876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366779921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20256948,0.00000516981,0.78144217,0.0011173792,0.00021042784,0.00042419997,0.000012990324,0.00017790223,0.014040257],"genre_scores_gemma":[0.97531193,0.000004506735,0.022093346,0.00026849986,0.00005391774,0.00009621303,0.0000074210925,0.000021877617,0.0021422794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99793357,0.00045773477,0.00037182463,0.0004663577,0.00037602105,0.00039449986],"domain_scores_gemma":[0.99231565,0.006830989,0.000085958585,0.00052293926,0.00008501144,0.00015947914],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000906645,0.00018921086,0.0002445312,0.0003798808,0.0002152592,0.000056620447,0.0009151351,0.000046585246,0.000053976517],"category_scores_gemma":[0.0034273297,0.0001689117,0.000114132214,0.0005708028,0.0001493152,0.00023659297,0.0008694777,0.00026542324,0.004778424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007504846,0.000089570436,0.0000071805507,0.000022920867,0.00004685306,0.000006594457,0.23064229,0.006874357,0.0043826625,0.70827454,0.006367262,0.043210696],"study_design_scores_gemma":[0.000029343064,0.00021629839,0.00003201838,0.000068278874,0.0000061309747,0.000016730142,0.0012401127,0.2146611,0.0294082,0.7539239,0.00025135407,0.00014652508],"about_ca_topic_score_codex":0.00008211341,"about_ca_topic_score_gemma":0.000026224723,"teacher_disagreement_score":0.77274245,"about_ca_system_score_codex":0.000119615404,"about_ca_system_score_gemma":0.00010279548,"threshold_uncertainty_score":0.9959965},"labels":[],"label_agreement":null},{"id":"W4380520749","doi":"10.6000/1929-4409.2020.09.278","title":"Automated Text Translation","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Computer science; Correctness; Computer-assisted translation; Machine translation; Translation (biology); Programming language; Information retrieval; World Wide Web; Natural language processing; Artificial intelligence; Database","score_opus":0.10698222584384512,"score_gpt":0.37556612458312133,"score_spread":0.26858389873927624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380520749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8989729,0.00044144335,0.081733085,0.0148622375,0.003603023,0.00003211316,0.0000014778523,0.00004726752,0.00030645134],"genre_scores_gemma":[0.9941901,0.00004519583,0.004700019,0.0009148284,0.000117030664,0.0000037479163,0.0000021185972,0.000002566581,0.000024395047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991609,0.00020669146,0.00026291356,0.00010237426,0.00016812464,0.000098994686],"domain_scores_gemma":[0.99924666,0.00023422106,0.00024414452,0.00006893072,0.00017801262,0.000028017617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038431154,0.000051455703,0.00010401048,0.00019825985,0.0001275718,0.00001640019,0.00063374237,0.00005484568,0.00010061873],"category_scores_gemma":[0.000063165375,0.000050810537,0.000044608176,0.000014352281,0.00015856638,0.00022520634,0.000104877545,0.00025314695,0.000005966128],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009319687,0.00019134556,0.002454021,0.0000023019088,0.00017196761,0.00010426128,0.02741181,0.0012964677,0.0033207876,0.7738088,0.0027071948,0.1884379],"study_design_scores_gemma":[0.00053097395,0.00072111643,0.02164707,0.000005277785,0.000027787606,0.0031998784,0.0017403725,0.04112351,0.0023440248,0.9005026,0.02794854,0.0002088056],"about_ca_topic_score_codex":0.000008471957,"about_ca_topic_score_gemma":3.858572e-7,"teacher_disagreement_score":0.18822908,"about_ca_system_score_codex":0.00006559656,"about_ca_system_score_gemma":0.00010565147,"threshold_uncertainty_score":0.20719935},"labels":[],"label_agreement":null},{"id":"W4380629205","doi":"10.6000/1929-4409.2020.09.194","title":"Modern Educational Technologies in a Fractal Approach Implementation in the Math Lessons (on the Example of Learning a Probability-Statistical Line Elements)","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Russian Foundation for Basic Research","keywords":"Fractal; Informatization; Mathematics education; Computer science; Generalization; Fractal analysis; Fractal dimension; Mathematics; Epistemology; World Wide Web; Philosophy","score_opus":0.14731114895389913,"score_gpt":0.4076259480106285,"score_spread":0.2603147990567294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380629205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92066836,0.0000805521,0.044016805,0.034800917,0.00023251295,0.00012273202,0.000003957804,0.000004592881,0.00006957622],"genre_scores_gemma":[0.99550736,0.000026180842,0.0040922733,0.00026006275,0.000036155852,0.000061976054,0.000009574369,0.0000022593208,0.0000041430594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984151,0.0005943791,0.00047478836,0.0001496483,0.00023841001,0.0001276886],"domain_scores_gemma":[0.99804515,0.0013802738,0.00033696633,0.00010566117,0.00012376903,0.000008191843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001575181,0.00006429018,0.0001237879,0.00022087147,0.00011152584,0.00001646156,0.0008270681,0.00005118238,0.00003893487],"category_scores_gemma":[0.00047161095,0.0000440905,0.000029368166,0.00004681123,0.00030015528,0.00011112266,0.00017354645,0.0006147708,8.84183e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037595055,0.000313505,0.010393157,0.0000024281878,0.000021557951,0.0000041608637,0.018231835,0.0016920482,0.0001820123,0.94862115,0.000058736667,0.0204418],"study_design_scores_gemma":[0.00016974549,0.0003311662,0.023318851,0.0000040805126,0.0000053920826,0.00013508176,0.014751797,0.014530171,0.00011606331,0.9463078,0.00028106253,0.000048791346],"about_ca_topic_score_codex":0.00009041444,"about_ca_topic_score_gemma":0.000013089937,"teacher_disagreement_score":0.07483902,"about_ca_system_score_codex":0.00010937779,"about_ca_system_score_gemma":0.00018342308,"threshold_uncertainty_score":0.26709074},"labels":[],"label_agreement":null},{"id":"W4380630606","doi":"10.6000/1929-4409.2020.09.188","title":"Parameters and Structure of Neural Network Databases for Assessment of Learning Outcomes","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Russian Foundation for Fundamental Investigations","keywords":"Structuring; Computer science; Basis (linear algebra); Field (mathematics); Artificial neural network; Artificial intelligence; Fuzzy logic; Machine learning; Database; Mathematics","score_opus":0.14423547728165334,"score_gpt":0.41687982191686607,"score_spread":0.2726443446352127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380630606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9318589,0.00019971933,0.06475908,0.0017765573,0.0013493596,0.00004020318,0.000008011172,0.0000025083216,0.0000056521926],"genre_scores_gemma":[0.9750065,0.000034258548,0.024692005,0.00019997421,0.000053091473,0.0000019925471,0.000004607044,0.0000021189696,0.000005409917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99919075,0.00017628924,0.00033663816,0.00009414603,0.00011390044,0.00008825611],"domain_scores_gemma":[0.9984238,0.00079454266,0.0004974408,0.000057813348,0.00020755258,0.000018857949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029023516,0.000051740986,0.00018952791,0.00010103543,0.000079708094,0.000005519933,0.00033491597,0.000033100998,0.000014806192],"category_scores_gemma":[0.00019363409,0.000045825167,0.000045081724,0.000010845289,0.00024639172,0.00012383382,0.00017984692,0.00021607486,1.9507917e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090624395,0.00008357789,0.31181222,0.000013718993,0.00030095753,0.000006400414,0.0051315944,0.03505605,0.0031959284,0.6178527,0.00016305418,0.026293155],"study_design_scores_gemma":[0.0007592621,0.0021375248,0.35901925,0.000018509048,0.00009707305,0.0006248184,0.003335227,0.048229408,0.002583476,0.58169377,0.0012940338,0.0002076316],"about_ca_topic_score_codex":0.000013596198,"about_ca_topic_score_gemma":0.0000012732158,"teacher_disagreement_score":0.04720702,"about_ca_system_score_codex":0.000022799913,"about_ca_system_score_gemma":0.00007685603,"threshold_uncertainty_score":0.18686962},"labels":[],"label_agreement":null},{"id":"W4382566946","doi":"10.1007/978-3-031-36336-8","title":"Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky","year":2023,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Massachusetts Amherst; University of Illinois at Urbana-Champaign; Leibniz-Gemeinschaft; Universidade Federal de Alagoas; Dipartimento di Matematica e Informatica, Università degli Studi di Catania; Sorbonne Université; Singapore Management University; University of Tsukuba; Technion-Israel Institute of Technology; California State University, Fullerton; Università di Bologna; Universidad de Chile; Universidade Federal do Rio Grande do Sul; Universidad Politécnica de Madrid; University of Sydney; University of Pennsylvania; École Polytechnique Fédérale de Lausanne; Université de Lyon; Gottfried Wilhelm Leibniz Universität Hannover; Beijing Normal University; Università degli Studi di Cagliari; Kindai University; University of South Australia; McGill University; University of Pittsburgh; Athabasca University; North Carolina State University; Carnegie Mellon University; University of Technology Sydney; University of Central Florida; Georgia Institute of Technology; Euskal Herriko Unibertsitatea; Kanazawa University; Georgia State University; University of Colorado Boulder; Universiteit Utrecht; Educational Testing Service","keywords":"Sky; Library science; Computer science; Engineering; Geography; Meteorology","score_opus":0.08978216961997332,"score_gpt":0.36670442789923685,"score_spread":0.27692225827926353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382566946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46712404,0.006715558,0.42875814,0.049433134,0.012300594,0.0076108025,0.00024601584,0.0009770119,0.026834678],"genre_scores_gemma":[0.8787482,0.012273688,0.103928715,0.0022292282,0.00044083767,0.00021579964,0.00039937865,0.000041930587,0.0017222443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99727833,0.00013681361,0.0013751192,0.00054948416,0.0003638841,0.00029634777],"domain_scores_gemma":[0.9968829,0.00084838347,0.0006873064,0.00092926255,0.0005233973,0.000128719],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002657457,0.00027276576,0.0002952215,0.0022926151,0.0005754755,0.0016513595,0.00089862134,0.00034446493,0.0000011672826],"category_scores_gemma":[0.0006291074,0.0003027995,0.000012901876,0.0023589185,0.001453975,0.008268078,0.0014147499,0.0009174524,0.0000062529366],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012896582,0.00004722902,0.00055788714,0.000061015307,0.000005416843,5.399501e-7,0.014066599,0.00024196763,0.000016020731,0.24520995,0.00030517884,0.7394753],"study_design_scores_gemma":[0.00044640005,0.0002711201,0.058813516,0.0027512843,0.000043927565,0.00025613687,0.0065740175,0.72413516,0.00021130766,0.15636288,0.04813098,0.0020032693],"about_ca_topic_score_codex":0.0001273906,"about_ca_topic_score_gemma":0.00012041501,"teacher_disagreement_score":0.73747206,"about_ca_system_score_codex":0.0002346146,"about_ca_system_score_gemma":0.001127228,"threshold_uncertainty_score":0.9999424},"labels":[],"label_agreement":null},{"id":"W4382727196","doi":"10.52358/mm.vi15.352","title":"Le design, le développement et l’évaluation d’une simulation de gestion de projet agile avec Minecraft Education : partage d’une approche innovante en enseignement supérieur","year":2023,"lang":"fr","type":"article","venue":"Médiations et médiatisations","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.13181597901953887,"score_gpt":0.3773048914016504,"score_spread":0.24548891238211154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382727196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03721671,0.00022005063,0.7820535,0.17348579,0.0015821859,0.0024269314,0.00007699015,0.0006399519,0.0022979307],"genre_scores_gemma":[0.81903213,0.00050223735,0.16598439,0.0022515813,0.00050028035,0.0022670592,0.0016725273,0.00010387882,0.0076858946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923081,0.0030071868,0.0015429431,0.0010855498,0.0010008975,0.0010553488],"domain_scores_gemma":[0.99398637,0.0024537856,0.000835852,0.0010664231,0.0013502837,0.00030730013],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0064481096,0.00056735333,0.0004040498,0.0011402165,0.0014694064,0.00085420586,0.00073246163,0.0004910598,0.000097926175],"category_scores_gemma":[0.0033575615,0.0007670352,0.00018301855,0.005401135,0.00019816581,0.0025657448,0.00024207737,0.0006469248,0.0007412721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013227464,0.0013739567,0.0011988055,0.00008542235,0.00007069875,0.0000036846031,0.15353712,0.63831216,0.0032260707,0.11787267,0.03703231,0.047273867],"study_design_scores_gemma":[0.00041517615,0.00015909679,0.07771133,0.00020963034,0.000118480064,0.000017033752,0.009102307,0.84223986,0.0025104026,0.043626327,0.023201825,0.000688525],"about_ca_topic_score_codex":0.008015285,"about_ca_topic_score_gemma":0.0024918653,"teacher_disagreement_score":0.7818154,"about_ca_system_score_codex":0.001713079,"about_ca_system_score_gemma":0.018186633,"threshold_uncertainty_score":0.99983054},"labels":[],"label_agreement":null},{"id":"W4385353405","doi":"10.4236/jss.2023.117031","title":"Past, Present and Tackling the Future of Artificial Intelligence (AI) in Education: Maintaining Agency and Establishing AI Laws","year":2023,"lang":"en","type":"article","venue":"Open Journal of Social Sciences","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Agency (philosophy); Generative grammar; Artificial intelligence; Autonomy; Engineering; Engineering ethics; Sociology; Control (management); Law; Political science; Public relations; Computer science; Social science","score_opus":0.06492280570468559,"score_gpt":0.3974631091170381,"score_spread":0.3325403034123525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385353405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80802894,0.0011029966,0.031078419,0.15406963,0.0034435086,0.0004720885,0.0000012347685,0.000016958904,0.0017862235],"genre_scores_gemma":[0.99407226,0.00014554581,0.004177296,0.0003268292,0.001240856,0.0000055242554,1.9489656e-7,0.0000034874954,0.000028012972],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99838567,0.00018526294,0.00054362067,0.00021704928,0.00043654072,0.00023188525],"domain_scores_gemma":[0.99891144,0.00028203952,0.00040548758,0.00010556337,0.00023477466,0.000060717735],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0039709224,0.00008721258,0.00017421036,0.00020973057,0.00062677043,0.0011150056,0.0015447163,0.000045775672,0.00001174707],"category_scores_gemma":[0.00013250778,0.00006348855,0.00003240548,0.0016718482,0.00043813515,0.0023396346,0.00046982925,0.00025308543,0.0000021475846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007787309,0.00005469284,0.003012789,0.000007854475,0.000005014838,0.0000036216886,0.040161535,0.000773213,0.00028302896,0.12750514,0.0011911928,0.8269941],"study_design_scores_gemma":[0.000065258,0.00034370527,0.035551585,0.00030975853,0.000017555767,0.00007459909,0.18298407,0.0389495,0.0028736657,0.72733974,0.011113924,0.0003766222],"about_ca_topic_score_codex":0.00020462554,"about_ca_topic_score_gemma":0.00010804133,"teacher_disagreement_score":0.82661754,"about_ca_system_score_codex":0.000040149607,"about_ca_system_score_gemma":0.0006539411,"threshold_uncertainty_score":0.9999219},"labels":[],"label_agreement":null},{"id":"W4385444394","doi":"10.29173/jchla29721","title":"CHLA 2023 Conference Lightning Talks/Congrès de l'ABSC 2023: Présentations Éclair","year":2023,"lang":"fr","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"BC Children's Hospital","funders":"","keywords":"Environmental science","score_opus":0.024003153709233633,"score_gpt":0.3072499651384161,"score_spread":0.2832468114291825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385444394","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1963403,0.05400634,0.012942553,0.6942894,0.0354849,0.0010788515,0.00093853945,0.00015949017,0.0047596223],"genre_scores_gemma":[0.8699763,0.03975879,0.009754098,0.03349205,0.011606706,0.00003593755,0.00004933494,0.00015472277,0.035172064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9878742,0.005162287,0.0022222053,0.00036546678,0.0018645262,0.0025113265],"domain_scores_gemma":[0.9832212,0.0052025206,0.006204835,0.00040746536,0.0026607506,0.002303249],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0135588925,0.00043774498,0.00073569524,0.0007520539,0.002992652,0.0055930894,0.0019190197,0.0008290532,0.00055328547],"category_scores_gemma":[0.017554691,0.00045037433,0.0004369301,0.0025808082,0.00014298613,0.0036000288,0.00015578161,0.0027497842,0.00003894019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00001447583,0.00005921015,0.15142131,0.00006436399,0.00034242246,0.0002227724,0.01395208,0.00547664,0.000042887754,0.009703033,0.81510514,0.0035956537],"study_design_scores_gemma":[0.00050398946,0.0001701252,0.2524138,0.0007977177,0.00016606992,0.0014541735,0.0050831777,0.027638257,0.00045616034,0.036826707,0.67384076,0.0006490622],"about_ca_topic_score_codex":0.559688,"about_ca_topic_score_gemma":0.8247527,"teacher_disagreement_score":0.673636,"about_ca_system_score_codex":0.06487547,"about_ca_system_score_gemma":0.14842395,"threshold_uncertainty_score":0.9997948},"labels":[],"label_agreement":null},{"id":"W4387753380","doi":"10.4000/ries.13949","title":"L’enseignement des mathématiques","year":2023,"lang":"fr","type":"paratext","venue":"Revue internationale d éducation de Sèvres","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.17623510664311057,"score_gpt":0.3830470001999376,"score_spread":0.20681189355682703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387753380","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07558874,0.0056548063,0.5257853,0.028950714,0.051952325,0.0016940214,0.0002592516,0.0006994046,0.3094154],"genre_scores_gemma":[0.048026245,0.0059224875,0.04387425,0.00076247344,0.004831998,0.0008731717,0.0006924412,0.00015858373,0.89485836],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958004,0.00042858394,0.0012953418,0.0010509989,0.0006848573,0.00073983596],"domain_scores_gemma":[0.9949998,0.0011325297,0.00089849514,0.0009788761,0.0017250248,0.00026523255],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010152749,0.00054611516,0.00044358763,0.00075413607,0.00048816807,0.0010473354,0.002077961,0.00042587475,0.0058805672],"category_scores_gemma":[0.0016574023,0.0006755875,0.00029259507,0.0009218439,0.00036855182,0.0010799402,0.0003809616,0.0005596708,0.06607674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011623494,0.0006100293,0.0004326065,0.00073416036,0.00021598756,0.000018981256,0.04457472,0.0057326434,0.00033611438,0.23707263,0.62886965,0.081390865],"study_design_scores_gemma":[0.00013306826,0.00020261525,0.022002785,0.0038932841,0.000099552686,0.00025973088,0.0029159593,0.11410151,0.007420526,0.24025701,0.60733336,0.0013806284],"about_ca_topic_score_codex":0.0026570086,"about_ca_topic_score_gemma":0.002166739,"teacher_disagreement_score":0.58544296,"about_ca_system_score_codex":0.0037183182,"about_ca_system_score_gemma":0.0020568112,"threshold_uncertainty_score":0.9999897},"labels":[],"label_agreement":null},{"id":"W4388861863","doi":"10.1007/s11858-023-01535-x","title":"The role of digital technologies in mathematics education: purposes and perspectives","year":2023,"lang":"en","type":"article","venue":"ZDM","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mathematics education; Pedagogy; Sociology; Mathematics","score_opus":0.03157380704231379,"score_gpt":0.30395802443972963,"score_spread":0.27238421739741586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388861863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753503,0.0023442598,0.0024961547,0.011904851,0.0002786893,0.00024292256,0.0000011098599,0.00032737898,0.007054338],"genre_scores_gemma":[0.9980979,0.00009914251,0.0015583665,0.0000014711657,0.000010498268,0.000018099212,2.1268703e-7,0.0000019593183,0.00021235704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996666,0.0000050893227,0.000096468364,0.00008974252,0.000068432666,0.00007367731],"domain_scores_gemma":[0.99955523,0.00015437581,0.000037037313,0.00020311435,0.00004343182,0.000006839248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008984033,0.000032670006,0.00003809906,0.00007098389,0.000050715764,0.00009364265,0.00029500018,0.000018786546,6.189552e-7],"category_scores_gemma":[0.00026926197,0.00002388428,0.000008836054,0.00037612865,0.00010565462,0.00022060062,0.00011228364,0.000035680347,0.000023280358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.3524208e-7,0.00006438589,0.006765036,0.000004550292,0.0000020346758,1.4566716e-7,0.015589016,0.000007112392,0.00027780604,0.6084232,0.00014565203,0.36872077],"study_design_scores_gemma":[0.0000056153176,0.000012831841,0.0026943462,0.000013964505,5.997468e-7,0.0000023784642,0.15573277,0.004945746,0.0097553795,0.8255969,0.001197825,0.000041635696],"about_ca_topic_score_codex":0.000007002193,"about_ca_topic_score_gemma":0.000010281908,"teacher_disagreement_score":0.36867914,"about_ca_system_score_codex":0.000014501419,"about_ca_system_score_gemma":0.000058184498,"threshold_uncertainty_score":0.09739727},"labels":[],"label_agreement":null},{"id":"W4391058988","doi":"","title":"Effective orchestration features of a project-based approach to learning programming for math investigation","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Orchestration; Computer science; Programming language; Artificial intelligence; Software engineering; Theoretical computer science","score_opus":0.026467388088699674,"score_gpt":0.2698121143649233,"score_spread":0.24334472627622364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391058988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07857577,0.00003998636,0.9148989,0.0025216814,0.00009183886,0.0014598796,0.0000044322715,0.00016195978,0.0022455927],"genre_scores_gemma":[0.66021824,8.2478584e-7,0.33822608,0.00005267055,0.00000901057,0.0009580313,0.00008284054,0.000011749457,0.00044052498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959925,0.0026474763,0.00030736442,0.00046772519,0.00036387693,0.00022107549],"domain_scores_gemma":[0.99671286,0.001181981,0.0003152237,0.00062717067,0.0010894737,0.00007329443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046893414,0.00013031863,0.00014598692,0.00023787962,0.00058042875,0.00019714316,0.00081901316,0.000046511515,0.0000023964822],"category_scores_gemma":[0.0017316039,0.00014512881,0.00007928128,0.0010586242,0.000080063975,0.00024862404,0.00024308269,0.00022024543,0.0000022613256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029806035,0.0008400593,0.0012774613,0.00013103081,0.000022477914,2.6682397e-7,0.06821828,0.007933096,0.027985822,0.57869774,0.00055033027,0.31431362],"study_design_scores_gemma":[0.000300086,0.0000145392705,0.0027390246,0.00018675235,0.000020559986,0.000007544403,0.0022518078,0.49317393,0.4870023,0.00423617,0.009690808,0.00037647947],"about_ca_topic_score_codex":0.0005089224,"about_ca_topic_score_gemma":0.00010528777,"teacher_disagreement_score":0.5816425,"about_ca_system_score_codex":0.00015382165,"about_ca_system_score_gemma":0.00035069892,"threshold_uncertainty_score":0.5918181},"labels":[],"label_agreement":null},{"id":"W4391231333","doi":"10.1201/9781003320791-7","title":"Human-Centered Artificial Intelligence (HCAI)","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","score_opus":0.13500417533139794,"score_gpt":0.3517877095132923,"score_spread":0.21678353418189436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391231333","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008023497,0.00027927753,0.2748731,0.0016205392,0.0037550936,0.00028821782,0.0000058427217,0.00060437585,0.7185655],"genre_scores_gemma":[0.020890493,0.0000503276,0.006778219,0.00038190943,0.0011394469,0.000022945185,0.000020648307,0.00008291965,0.9706331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970638,0.000013916868,0.00087312487,0.0010980142,0.00054848037,0.00040266104],"domain_scores_gemma":[0.9980331,0.000076535514,0.0002053517,0.0013020602,0.00021931625,0.00016364602],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002893161,0.00047314406,0.00034686446,0.00042196526,0.00018403018,0.0006828358,0.0019160255,0.00039042448,0.0023050585],"category_scores_gemma":[0.000024745823,0.00045965862,0.00026557432,0.00013287208,0.00017958313,0.00037897515,0.00061529,0.00066334475,0.020966321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.720444e-7,0.00002778436,2.1782638e-7,0.000023033459,0.000029052699,0.000025572795,0.00036434605,0.000018461995,0.00008623283,0.9054725,0.004830041,0.08912176],"study_design_scores_gemma":[0.0000027973067,0.00006280571,4.6572413e-7,0.0001528111,0.00002135272,0.000014233703,0.000043794964,0.0050397916,0.0032167279,0.8874117,0.103574306,0.0004592212],"about_ca_topic_score_codex":0.00005256089,"about_ca_topic_score_gemma":0.00015501078,"teacher_disagreement_score":0.2680949,"about_ca_system_score_codex":0.00023234547,"about_ca_system_score_gemma":0.00017953954,"threshold_uncertainty_score":0.99978554},"labels":[],"label_agreement":null},{"id":"W4402158117","doi":"10.1162/isal_a_00805","title":"Reality of Affordances: A Category-Theoretic Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Affordance; Computer science; Human–computer interaction","score_opus":0.05377103139022693,"score_gpt":0.3271687790239538,"score_spread":0.2733977476337269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402158117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045596464,0.00017056965,0.8962365,0.0006522744,0.00046611298,0.00008474266,4.936169e-7,0.00020745059,0.09762225],"genre_scores_gemma":[0.94823974,0.000013198124,0.05065625,0.000035946672,0.000050066912,0.000014481341,0.0000012819514,0.0000040842774,0.0009849323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992213,0.000036284753,0.00019978388,0.00025449364,0.00015892377,0.00012921455],"domain_scores_gemma":[0.9993907,0.000089739755,0.000027944972,0.00040128376,0.000053474836,0.000036825848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000402173,0.00006248347,0.00007830176,0.00007785144,0.000028109433,0.00008719608,0.0005004487,0.000031114654,0.000057433805],"category_scores_gemma":[0.000034656405,0.000049225644,0.00004271607,0.0005063517,0.000099898396,0.00030993574,0.000068844274,0.00006341471,0.000090460504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.065946e-7,0.000037937065,0.000033355016,0.00005048284,0.0000039694783,4.0526638e-7,0.0019331119,0.000112340516,0.00027430427,0.9724106,0.0011366745,0.024006166],"study_design_scores_gemma":[0.0000070902706,0.000031552077,0.00008459613,0.000018720391,0.00000414653,0.0000075522416,0.00044950424,0.39118287,0.0364418,0.56967866,0.0019961393,0.00009736705],"about_ca_topic_score_codex":0.0001837176,"about_ca_topic_score_gemma":0.000009920029,"teacher_disagreement_score":0.9436801,"about_ca_system_score_codex":0.000030477668,"about_ca_system_score_gemma":0.00011552569,"threshold_uncertainty_score":0.20073634},"labels":[],"label_agreement":null},{"id":"W4402999649","doi":"10.57125/fp.2024.12.30.03","title":"Education and Artificial Intelligence at the Scene of Writing: A Derridean Consideration","year":2024,"lang":"en","type":"article","venue":"Futurity Philosophy.","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Artificial intelligence; Cognitive science; Computer science; Psychology","score_opus":0.05209366475917867,"score_gpt":0.32656855065626694,"score_spread":0.2744748858970883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402999649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6089297,0.0085276775,0.24258405,0.12010779,0.008239668,0.001136304,0.000016485285,0.0004744501,0.009983887],"genre_scores_gemma":[0.993926,0.000060228933,0.00463652,0.0003356688,0.00093067955,0.000027550574,0.000006275418,0.000008986229,0.00006809513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986969,0.00009918562,0.00041506108,0.0003821744,0.00024929366,0.00015737399],"domain_scores_gemma":[0.9989213,0.00032123906,0.00009385019,0.00043429917,0.00016632883,0.0000630251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048700572,0.00012542908,0.00011467244,0.000120555465,0.0002742842,0.00027937163,0.0003313486,0.0000651934,0.000044217304],"category_scores_gemma":[0.00015138388,0.00010221475,0.000052331565,0.0003892208,0.00021337181,0.0004935873,0.00017565722,0.0001633306,0.000097773285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003731889,0.00007862647,0.00008378451,0.000057076668,0.000008440556,0.0000012168254,0.0028828525,0.000028419372,0.001762509,0.7920618,0.00065429835,0.20237724],"study_design_scores_gemma":[0.0000058541636,0.000049061502,0.0003037307,0.000116180854,0.000012864759,0.00004897116,0.0004439799,0.03141197,0.07237634,0.89382917,0.0012586949,0.00014316592],"about_ca_topic_score_codex":0.00007707588,"about_ca_topic_score_gemma":0.00007848453,"teacher_disagreement_score":0.3849963,"about_ca_system_score_codex":0.00008077235,"about_ca_system_score_gemma":0.00028151314,"threshold_uncertainty_score":0.41681966},"labels":[],"label_agreement":null},{"id":"W4403305104","doi":"10.1017/9781009302180.014","title":"Recursion","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Recursion (computer science); Computer science; Programming language","score_opus":0.03826298895950897,"score_gpt":0.23860624119009252,"score_spread":0.20034325223058355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305104","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000128849715,0.00019870083,0.024635505,0.00012673838,0.0018732107,0.00022614004,0.000027127751,0.00038924182,0.97251046],"genre_scores_gemma":[0.00050970266,0.000074521304,0.0009192014,0.00005607537,0.00021322146,4.686123e-7,0.000010703284,0.000028079,0.998188],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868953,0.000016762331,0.00016596726,0.00063726405,0.00027110334,0.00021938913],"domain_scores_gemma":[0.99870664,0.000059206686,0.00012261835,0.0008250532,0.00015428454,0.00013219644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000099793055,0.00025692588,0.00019795181,0.00023495033,0.00014250181,0.00014759405,0.0012500788,0.0002852359,0.0000053086064],"category_scores_gemma":[0.000007433258,0.00030467752,0.0001624627,0.000015851643,0.00012885817,0.00020175226,0.0006918759,0.0004476453,0.00046001782],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004684244,0.000004485976,8.3303014e-8,0.000032949953,0.000026307242,0.00011772298,0.000119083896,0.0000024688125,0.000023957105,0.93129766,0.059197478,0.0091731055],"study_design_scores_gemma":[0.000022751317,0.000030898434,5.64248e-7,0.00017841114,0.00004330308,0.0000135590335,0.000019805957,0.0012062392,0.0012082278,0.0013843849,0.99557906,0.00031278643],"about_ca_topic_score_codex":0.000074434,"about_ca_topic_score_gemma":0.0000015053336,"teacher_disagreement_score":0.9363816,"about_ca_system_score_codex":0.0002994908,"about_ca_system_score_gemma":0.00015562,"threshold_uncertainty_score":0.9999405},"labels":[],"label_agreement":null},{"id":"W4403305111","doi":"10.1017/9781009302180.050","title":"Index","year":2024,"lang":"en","type":"paratext","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Index (typography); Computer science; World Wide Web","score_opus":0.033979231961365625,"score_gpt":0.26207320551193775,"score_spread":0.22809397355057212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305111","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011032793,0.00030067522,0.17702228,0.00009173364,0.006977079,0.00022440728,0.00004985693,0.00019398518,0.8150297],"genre_scores_gemma":[0.0057957335,0.00007749539,0.00053289224,0.00009470864,0.00044540325,0.0000019710212,0.00002788934,0.000024755765,0.99299914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837184,0.000091689,0.00018082747,0.0007290226,0.0002858541,0.0003407755],"domain_scores_gemma":[0.9985507,0.00007211247,0.00012659481,0.00093565026,0.00016635364,0.00014855449],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010647366,0.0002783979,0.00024326565,0.0003015225,0.00016244066,0.00031737963,0.0020554354,0.00033247657,0.000013674049],"category_scores_gemma":[0.000011892381,0.0003280103,0.0001531668,0.00009232349,0.00012883534,0.0002520668,0.00096126104,0.0005993511,0.0049534985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038668754,0.000011969031,3.7492947e-7,0.000060515937,0.00003375064,0.00005045195,0.00016701737,0.00003379851,0.000027515123,0.25432524,0.741595,0.0036905557],"study_design_scores_gemma":[0.000029373305,0.000019423276,0.0000030887145,0.00010866981,0.000027966718,0.000009646101,0.0000704402,0.0048075616,0.0028590285,0.00000938307,0.9917186,0.0003368552],"about_ca_topic_score_codex":0.0006276266,"about_ca_topic_score_gemma":0.0000023408627,"teacher_disagreement_score":0.25431585,"about_ca_system_score_codex":0.00031929123,"about_ca_system_score_gemma":0.00044521943,"threshold_uncertainty_score":0.9999172},"labels":[],"label_agreement":null},{"id":"W4403305362","doi":"10.1017/9781009302180.039","title":"Additional Topics","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","score_opus":0.036311153088447186,"score_gpt":0.22889803647968554,"score_spread":0.19258688339123836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305362","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.813076e-7,0.00005322164,0.009624283,0.0001394097,0.0010719029,0.00014977368,0.0020240105,0.000264733,0.986672],"genre_scores_gemma":[0.000018319013,0.000016192014,0.0014948028,0.00008625399,0.00047577778,0.0000013407447,0.00032561293,0.0000189458,0.99756277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989112,0.000010958501,0.00014288344,0.0004997088,0.000256667,0.00017858869],"domain_scores_gemma":[0.9989601,0.00010771119,0.00009876522,0.00056971837,0.00015613076,0.000107569474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000041566585,0.0002112663,0.00015713558,0.00016726492,0.00012762599,0.00012863509,0.0009656045,0.00022793742,0.00032177882],"category_scores_gemma":[0.000012096527,0.0002592136,0.0001486344,0.000011801359,0.00012870325,0.00016762341,0.0005115796,0.00037723227,0.0005633367],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011950018,0.0000025465224,1.23317365e-8,0.000012039741,0.000019338671,0.000065098255,0.00003011105,0.000001163689,0.000001024884,0.5822384,0.41340184,0.004227231],"study_design_scores_gemma":[0.000015110838,0.00001702821,7.397459e-7,0.00012831515,0.000028996003,0.000014392438,0.000011182779,0.0008724999,0.00011955038,0.001605247,0.996932,0.0002549238],"about_ca_topic_score_codex":0.000024111574,"about_ca_topic_score_gemma":0.0000018068909,"teacher_disagreement_score":0.5835302,"about_ca_system_score_codex":0.00023808646,"about_ca_system_score_gemma":0.00021810172,"threshold_uncertainty_score":0.999986},"labels":[],"label_agreement":null},{"id":"W4403305884","doi":"10.1017/9781009302180.031","title":"The Game of Life","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Psychology","score_opus":0.035606703478562055,"score_gpt":0.2299576916467628,"score_spread":0.19435098816820073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305884","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003660769,0.0004586659,0.0129552,0.00014500746,0.001178938,0.00020576078,0.000019763067,0.000117846714,0.98488224],"genre_scores_gemma":[0.004861371,0.00012283257,0.00016405668,0.000033506203,0.0001275367,4.6473713e-7,0.0000023430594,0.000016999968,0.99467087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989764,0.0000203356,0.00020826427,0.00035843108,0.00026170714,0.00017485328],"domain_scores_gemma":[0.9984839,0.00018306861,0.00019419793,0.0008402996,0.00019712014,0.000101428086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013701568,0.00018095034,0.00018430965,0.00010799117,0.00013334335,0.000102339596,0.0015599439,0.0001623329,0.0000013739998],"category_scores_gemma":[0.000022713322,0.0001646257,0.00015792626,0.00001458294,0.00029765247,0.00010213276,0.0006381596,0.0003189526,0.00007671438],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006951027,0.0000031976676,2.3451935e-7,0.00002669845,0.000049455113,0.0000150525475,0.00015832788,0.0000060907314,0.00001583107,0.9762067,0.018868217,0.004643225],"study_design_scores_gemma":[0.000021681259,0.00002436079,0.000002166166,0.000086043125,0.000041046587,0.0000029693879,0.000046553876,0.0015717729,0.0008043302,0.0013811447,0.995842,0.00017592158],"about_ca_topic_score_codex":0.00009551462,"about_ca_topic_score_gemma":0.0000035793578,"teacher_disagreement_score":0.9769738,"about_ca_system_score_codex":0.00010966171,"about_ca_system_score_gemma":0.00027138495,"threshold_uncertainty_score":0.67132413},"labels":[],"label_agreement":null},{"id":"W4403305909","doi":"10.1017/9781009302180.040","title":"Existential and Universal Quantifiers","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Existentialism; Philosophy; Computer science; Linguistics; Epistemology","score_opus":0.03995777747057208,"score_gpt":0.23771097806302713,"score_spread":0.19775320059245505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305909","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011386472,0.00016443794,0.021829996,0.00008145516,0.0015030557,0.00021602579,0.000035465146,0.0002653097,0.9757904],"genre_scores_gemma":[0.002846823,0.00011705764,0.0006582886,0.000025848238,0.000145618,2.6231982e-7,0.000010173783,0.000026270767,0.9961697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986723,0.000019931264,0.00015625308,0.0006885758,0.00023401238,0.00022893382],"domain_scores_gemma":[0.9989549,0.00006028244,0.0001161032,0.0005829779,0.00012185291,0.00016386592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009071075,0.00027202742,0.00022130247,0.00029449508,0.00017895216,0.00020983486,0.00082752574,0.00026602764,0.000003535686],"category_scores_gemma":[0.00000560715,0.00033569962,0.00012773093,0.00001760758,0.00030953114,0.00025194985,0.0007375592,0.00039647776,0.000079710604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010343364,0.0000040505993,3.776833e-7,0.000042315678,0.000059735357,0.00021087371,0.00023678098,0.0000024591757,0.000032771142,0.98287916,0.012658189,0.0038629363],"study_design_scores_gemma":[0.000057110767,0.000039471914,0.0000020537323,0.00012485964,0.0001096853,0.000027023729,0.000116608164,0.0025291229,0.0004926721,0.0005693736,0.99554026,0.00039174987],"about_ca_topic_score_codex":0.00021621308,"about_ca_topic_score_gemma":0.0000055025675,"teacher_disagreement_score":0.9828821,"about_ca_system_score_codex":0.00019606925,"about_ca_system_score_gemma":0.00015931787,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W4403306156","doi":"10.1017/9781009302180.002","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","score_opus":0.028405901940786838,"score_gpt":0.2263864179252106,"score_spread":0.19798051598442376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403306156","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008473262,0.000121589765,0.037953496,0.00045420433,0.003013457,0.00019966761,0.000015661815,0.00040150463,0.9578319],"genre_scores_gemma":[0.0002778335,0.000044745404,0.0007729707,0.000038988557,0.0011886645,5.4488544e-7,0.000014092715,0.000025402462,0.99763674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987236,0.000014911525,0.00016085368,0.00067117956,0.00023573078,0.00019371076],"domain_scores_gemma":[0.9987652,0.000034116176,0.00011557419,0.0008189914,0.00016546519,0.00010068679],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000978031,0.000235387,0.00018071932,0.00023829786,0.00012874471,0.00015620474,0.000941662,0.0002320325,0.000008297651],"category_scores_gemma":[0.000008433778,0.00028648533,0.00013561008,0.000016607042,0.0001296168,0.00023696081,0.0004948375,0.0004244626,0.00053457584],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036586805,0.0000037635227,4.2826436e-8,0.00002433052,0.000031090796,0.000049185903,0.00008374045,0.00000631018,0.000034099437,0.843914,0.14997561,0.0058741933],"study_design_scores_gemma":[0.000018201741,0.000024073453,5.067398e-7,0.000050093877,0.000052448402,0.000018596418,0.000018479373,0.0011499029,0.0014102936,0.00087225554,0.9961115,0.00027365834],"about_ca_topic_score_codex":0.00005820138,"about_ca_topic_score_gemma":0.0000014083766,"teacher_disagreement_score":0.84613585,"about_ca_system_score_codex":0.00031298934,"about_ca_system_score_gemma":0.00012962456,"threshold_uncertainty_score":0.99995875},"labels":[],"label_agreement":null},{"id":"W4403931761","doi":"10.18517/ijaseit.14.5.20449","title":"Design of Interactive Artificial Intelligence for Early Cognitive Diagnosis","year":2024,"lang":"en","type":"article","venue":"International Journal on Advanced Science Engineering and Information Technology","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Cognition; Artificial intelligence; Human–computer interaction; Psychology","score_opus":0.019553527586268694,"score_gpt":0.31536178759809774,"score_spread":0.295808260011829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403931761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036193904,0.000072705676,0.9591853,0.0017300787,0.0024700782,0.00017493099,0.0000048381175,0.00012584879,0.000042316387],"genre_scores_gemma":[0.9308749,0.00012348247,0.068812124,0.00006597369,0.00005349003,0.00006191173,9.3008396e-7,0.000004039805,0.0000031830389],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886686,0.000007538685,0.00043681214,0.00016715597,0.00033944743,0.00018221432],"domain_scores_gemma":[0.9984361,0.00046068308,0.00015246659,0.00009694405,0.00079830986,0.00005553051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386458,0.00010221361,0.00009734089,0.0016544219,0.000102160586,0.00041553893,0.00073566445,0.00005434284,0.0000049814735],"category_scores_gemma":[0.0013975427,0.00009460778,0.000032781412,0.0008080967,0.00017184121,0.00523749,0.000088811845,0.00023962068,0.000019740253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021684522,0.000018778186,0.000006507247,0.000004947113,0.000017199263,0.0000015541079,0.0013716362,0.031609684,0.0020015659,0.34379375,0.0000055176306,0.62114716],"study_design_scores_gemma":[0.00004314713,0.00043732446,0.000046972662,0.0003022626,0.0000047120157,0.000078609264,0.00065504387,0.6467117,0.2995836,0.050848015,0.0011460832,0.00014250157],"about_ca_topic_score_codex":9.655438e-7,"about_ca_topic_score_gemma":6.663627e-8,"teacher_disagreement_score":0.894681,"about_ca_system_score_codex":0.00014366733,"about_ca_system_score_gemma":0.00015095212,"threshold_uncertainty_score":0.40070516},"labels":[],"label_agreement":null},{"id":"W4405674821","doi":"10.24908/pceea.2024.18548","title":"First Impressions on Supporting Students with a Course-Aligned, AI-powered Virtual Teaching Assistant (TA), Oliver","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Course (navigation); Mathematics education; Psychology; Computer science; Human–computer interaction; Engineering; Multimedia; Pedagogy; Aerospace engineering","score_opus":0.006451755980570993,"score_gpt":0.2706263211807549,"score_spread":0.2641745652001839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405674821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84126705,0.0002243089,0.01600586,0.11354434,0.0151017085,0.0020262152,0.00008227514,0.0010166169,0.010731604],"genre_scores_gemma":[0.99632543,0.0000039838337,0.0012799982,0.00039157463,0.00023959478,0.00007542329,0.0000030192602,0.000032873824,0.0016480816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99809027,0.000013802862,0.00039507012,0.00037321355,0.0007114962,0.0004161427],"domain_scores_gemma":[0.99854225,0.0001675774,0.00033232736,0.00020030157,0.0005173843,0.00024017239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008694755,0.00019106166,0.00015054413,0.00033591202,0.00041503113,0.0007168357,0.000907434,0.00012120052,0.00002280974],"category_scores_gemma":[0.0010709321,0.00015243725,0.00007310995,0.0006159882,0.000021909438,0.0007815288,0.00006718418,0.00030109842,0.000032599324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014814567,0.0006901096,0.13090076,0.00041213067,0.00055516895,0.0000029768737,0.034792516,0.0041741827,0.008286085,0.6689745,0.13012514,0.021071592],"study_design_scores_gemma":[0.0007919593,0.0007972098,0.47346804,0.012313225,0.0005437588,0.00007598549,0.00886022,0.16454642,0.038392935,0.007311809,0.28916335,0.003735084],"about_ca_topic_score_codex":0.0022640014,"about_ca_topic_score_gemma":0.0031634693,"teacher_disagreement_score":0.66166276,"about_ca_system_score_codex":0.0027683761,"about_ca_system_score_gemma":0.0016752566,"threshold_uncertainty_score":0.7239207},"labels":[],"label_agreement":null},{"id":"W4406027698","doi":"10.29173/jchla/jabsc.v36i2.25","title":"CHLA 2015 Conference Contributed papers / ABSC Congrés 2014 Communications libres","year":2015,"lang":"fr","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.02484934581809299,"score_gpt":0.3035092051845882,"score_spread":0.2786598593664952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406027698","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01381829,0.1993682,0.0052043274,0.7562606,0.018790226,0.00072597776,0.00075048115,0.00006431238,0.005017648],"genre_scores_gemma":[0.8737308,0.054695435,0.010504881,0.047136597,0.005096777,0.000017843402,0.000039105933,0.000099015604,0.008679557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9856961,0.008085893,0.002221871,0.00027935786,0.0018489372,0.0018678743],"domain_scores_gemma":[0.9783361,0.0053422684,0.0075813197,0.0007365247,0.0047945543,0.0032092277],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015627312,0.000416006,0.0008140814,0.0003920251,0.001985173,0.004739026,0.0031836282,0.0008373561,0.00027798794],"category_scores_gemma":[0.020954488,0.00040581316,0.00034874637,0.0010205503,0.00025017493,0.0031520305,0.00022892891,0.0027695172,0.000018534449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000024136405,0.00008509798,0.112480745,0.00002067333,0.0003249035,0.000054284006,0.008229625,0.0010854715,0.000009598208,0.015821261,0.8594739,0.0023903302],"study_design_scores_gemma":[0.0006189277,0.00015220886,0.04697075,0.00029850326,0.00012365525,0.00093438465,0.0022315811,0.0077603753,0.000117002666,0.018294677,0.92208546,0.00041244965],"about_ca_topic_score_codex":0.6248196,"about_ca_topic_score_gemma":0.8276077,"teacher_disagreement_score":0.8599125,"about_ca_system_score_codex":0.06709952,"about_ca_system_score_gemma":0.19098729,"threshold_uncertainty_score":0.99983937},"labels":[],"label_agreement":null},{"id":"W4407089887","doi":"10.5594/jmi.2024/bpfr7072","title":"SMPTE Spotlight: Marie-Eve Bilodeau","year":2024,"lang":"en","type":"article","venue":"SMPTE Motion Imaging Journal","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer graphics (images); Art; Computer science","score_opus":0.018364826436796045,"score_gpt":0.29482291076436357,"score_spread":0.2764580843275675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407089887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064320657,0.001327512,0.9596487,0.020582091,0.007868517,0.000083161074,9.745315e-7,0.00040823876,0.0036487128],"genre_scores_gemma":[0.9748284,0.00012527812,0.021298625,0.0006900937,0.0014876744,0.000006528372,0.0000023943303,0.00003083015,0.0015301774],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998148,0.000112512156,0.00046053485,0.00040314154,0.00046865345,0.0004071335],"domain_scores_gemma":[0.9989439,0.00012092182,0.00012350328,0.00038570183,0.00023263272,0.00019334056],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009828822,0.0001786795,0.00012728911,0.0004568823,0.0003971478,0.002023193,0.00075578544,0.000044857174,0.0002961349],"category_scores_gemma":[0.00014648105,0.00016139878,0.00013890715,0.00065151165,0.00008029194,0.0021592833,0.00012759323,0.0005677831,0.0013913845],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046575105,0.000091566355,0.0035267007,0.000027215287,0.0000387063,0.00022362015,0.0032987155,0.00088599307,0.0023394092,0.05888794,0.040034343,0.89064115],"study_design_scores_gemma":[0.000111606525,0.000040006904,0.005188354,0.0003544969,0.00003695748,0.0020002292,0.00032427677,0.63404924,0.009857414,0.15652497,0.19091089,0.00060154],"about_ca_topic_score_codex":0.000020611638,"about_ca_topic_score_gemma":0.0000020754542,"teacher_disagreement_score":0.9683963,"about_ca_system_score_codex":0.00027597212,"about_ca_system_score_gemma":0.00024251653,"threshold_uncertainty_score":0.99938613},"labels":[],"label_agreement":null},{"id":"W4409155808","doi":"10.18162/ritpu-2025-v22n1-05","title":"Autoformation en outils d’intelligence artificielle générative : un levier pour guider et optimiser la conception pédagogique","year":2025,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Philosophy; Computer science","score_opus":0.05252340990747924,"score_gpt":0.3340552151599068,"score_spread":0.2815318052524276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409155808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048749987,0.00252554,0.8239794,0.07956048,0.0020053186,0.00074773136,0.000047780573,0.0010963262,0.041287433],"genre_scores_gemma":[0.60002,0.006686591,0.07914113,0.0003363662,0.0001438471,0.00007432931,0.00006494249,0.00003922248,0.31349355],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963666,0.0006698951,0.00092752563,0.0009633615,0.0004293924,0.00064320775],"domain_scores_gemma":[0.9951756,0.0019639637,0.0005027149,0.00096989825,0.0013065033,0.00008129349],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011879012,0.0005250362,0.00043608338,0.0008694846,0.00049773545,0.0004907914,0.0025810963,0.0008747586,0.00036444483],"category_scores_gemma":[0.002646378,0.0006268139,0.00028709788,0.0014364609,0.001099118,0.0031972057,0.0012589975,0.000987161,0.0005717798],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019375842,0.00028630104,0.0005780002,0.0001178161,0.00015638993,0.00005554064,0.01247851,0.021250693,0.00037968575,0.3287174,0.0027891458,0.63317114],"study_design_scores_gemma":[0.0002539298,0.0002681113,0.001092965,0.0023557758,0.00015711962,0.0001527114,0.11142477,0.3758493,0.057309244,0.1380162,0.31206867,0.0010512102],"about_ca_topic_score_codex":0.00014280879,"about_ca_topic_score_gemma":0.00016087346,"teacher_disagreement_score":0.74483824,"about_ca_system_score_codex":0.0021780303,"about_ca_system_score_gemma":0.000977598,"threshold_uncertainty_score":0.9996183},"labels":[],"label_agreement":null},{"id":"W4409787645","doi":"10.61091/jcmcc127a-326","title":"Application of Artificial Intelligence Technology in Enhancing the Effectiveness of Production-oriented Approach to Literacy Instruction and Instructional Design","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Literacy; Computer science; Instructional design; Mathematics education; Engineering management; Multimedia; Engineering; Psychology; Pedagogy; Economics","score_opus":0.014659979490053364,"score_gpt":0.2904214778986003,"score_spread":0.2757614984085469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4408149,0.000049653623,0.55538636,0.00010145355,0.0032923045,0.00032720194,1.2764964e-7,0.00000785291,0.000020133928],"genre_scores_gemma":[0.91782975,0.000008213989,0.081992105,0.000002716678,0.00015019844,0.000010698247,2.252893e-7,0.000005795441,3.0364401e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978093,0.00025927287,0.0012118672,0.00024255067,0.00032531767,0.00015167368],"domain_scores_gemma":[0.99692327,0.001064273,0.00078794116,0.00026831098,0.0009151405,0.000041066545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034495315,0.00014545165,0.00042614416,0.0006490656,0.00014290803,0.00006614217,0.0004504883,0.000110922454,1.2783377e-7],"category_scores_gemma":[0.0014897657,0.00012346353,0.00004653946,0.0017458677,0.0001638301,0.00029301556,0.00021892914,0.000295327,1.5830909e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001086024,0.00038062915,0.00027735098,0.000206705,0.000024419789,1.9660584e-7,0.0015836547,0.0024261791,0.00856573,0.94182223,8.2838716e-7,0.04460348],"study_design_scores_gemma":[0.00018919194,0.00022123872,0.00052114704,0.0004192409,0.00001800536,0.000030568463,0.0007271562,0.057498954,0.10176119,0.83851564,0.00000798103,0.0000896992],"about_ca_topic_score_codex":0.0000175519,"about_ca_topic_score_gemma":4.0367473e-7,"teacher_disagreement_score":0.4770148,"about_ca_system_score_codex":0.00009598542,"about_ca_system_score_gemma":0.00019786648,"threshold_uncertainty_score":0.50346965},"labels":[],"label_agreement":null},{"id":"W4410327495","doi":"10.5539/jel.v14n5p189","title":"Architecture of the Computational Thinking Platform with Gamified Using Artificial Intelligence Prompt Engineering","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architecture; Computational thinking; Mathematics education; Computer science; Psychology; Artificial intelligence; Visual arts","score_opus":0.024029134501523535,"score_gpt":0.29885849285772287,"score_spread":0.2748293583561993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410327495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37452865,0.00008693347,0.62395257,0.00077821146,0.000494327,0.000052474956,4.3687027e-8,0.000005851832,0.000100927144],"genre_scores_gemma":[0.9008235,0.000002432202,0.098997176,0.0000618223,0.000080465994,9.1840656e-7,2.2309894e-7,0.000003281854,0.000030221236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919957,0.000050363516,0.00034921593,0.00009470899,0.00021723085,0.00008890032],"domain_scores_gemma":[0.99897546,0.00021564419,0.0003786318,0.00009469347,0.00030505034,0.00003052408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004801131,0.00007127028,0.00010556677,0.00021488016,0.00019123584,0.00009973035,0.00030416858,0.000031815416,0.000004378401],"category_scores_gemma":[0.0002846601,0.000049689545,0.00003595625,0.00047596043,0.000045698314,0.00025491216,0.000047326757,0.00038825523,2.949706e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010865635,0.00008561311,0.0015827996,0.000033739554,0.000021846528,2.5807788e-7,0.009129797,0.7294819,0.001223203,0.13140546,0.0000085606125,0.127016],"study_design_scores_gemma":[0.000067778165,0.00020198367,0.01632231,0.0014698029,0.000054467942,0.00024052199,0.013629015,0.7938887,0.01827247,0.15476575,0.00085633545,0.00023085522],"about_ca_topic_score_codex":0.000015411375,"about_ca_topic_score_gemma":0.0000032792323,"teacher_disagreement_score":0.5262948,"about_ca_system_score_codex":0.000055892277,"about_ca_system_score_gemma":0.00064984977,"threshold_uncertainty_score":0.20262808},"labels":[],"label_agreement":null},{"id":"W4411013361","doi":"10.1101/2025.06.03.25328940","title":"Lexical meaning is lower-dimensional in psychosis: the intrinsic geometry of the semantic space","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"","keywords":"Meaning (existential); Space (punctuation); Semantic space; Linguistics; Geometry; Psychosis; Psychology; Mathematics; Computer science; Artificial intelligence; Philosophy; Epistemology","score_opus":0.035960333193271736,"score_gpt":0.31706163487223005,"score_spread":0.2811013016789583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411013361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9411932,0.00040180213,0.022563852,0.02709988,0.0070756753,0.0004657349,0.0000038103176,0.000048087782,0.0011479156],"genre_scores_gemma":[0.9965338,0.000029778495,0.0020370039,0.0008685917,0.00013145007,0.00003681597,6.2739474e-7,0.000007590401,0.00035433285],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978289,0.00024831336,0.0005215037,0.0005804301,0.00055874855,0.00026209923],"domain_scores_gemma":[0.9974426,0.00043682562,0.00028018883,0.0016398492,0.00016105647,0.000039469967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872265,0.00020604282,0.00026248617,0.0002290744,0.000118768236,0.00008551256,0.0026833958,0.00018595593,0.00003596436],"category_scores_gemma":[0.0004187037,0.00013154466,0.00017536877,0.0011339141,0.00018133616,0.00008900905,0.0019819906,0.0008979984,0.000038288876],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007534915,0.0018240719,0.4888861,0.0007533103,0.0003295802,0.000022659704,0.041314814,0.03679793,0.0017477866,0.3212924,0.019600641,0.0873554],"study_design_scores_gemma":[0.00022285969,0.000106993946,0.32405537,0.004450816,0.0001226467,0.000020697706,0.0008506715,0.21572849,0.088598356,0.3584296,0.0062004062,0.0012130812],"about_ca_topic_score_codex":0.0004184539,"about_ca_topic_score_gemma":0.00024094016,"teacher_disagreement_score":0.17893055,"about_ca_system_score_codex":0.000095515315,"about_ca_system_score_gemma":0.00034301064,"threshold_uncertainty_score":0.53642356},"labels":[],"label_agreement":null},{"id":"W4412977057","doi":"10.61737/bari1591","title":"Regards croisés sur l’intelligence artificielle à l’Université Laval : pratiques et enjeux en recherche","year":2025,"lang":"fr","type":"report","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sociology; Humanities; Philosophy","score_opus":0.3001699092156378,"score_gpt":0.4145012369633656,"score_spread":0.1143313277477278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412977057","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007392705,0.0028933138,0.5473786,0.027631272,0.006719755,0.00094531965,0.000027669954,0.0004772807,0.4131875],"genre_scores_gemma":[0.008564498,0.023574764,0.07624664,0.0010365456,0.0007980373,0.000065254666,0.00008399585,0.0000703176,0.8895599],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99032986,0.002899237,0.001876568,0.0021979841,0.0015468744,0.0011494869],"domain_scores_gemma":[0.9863312,0.005491286,0.00093806005,0.0026539557,0.0042419243,0.0003435724],"candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.008954839,0.0009977355,0.0010049457,0.00063672086,0.00051413826,0.0010742065,0.0036181675,0.0021174229,0.0024874588],"category_scores_gemma":[0.0088028,0.0010553065,0.0005685903,0.0021706799,0.00038926004,0.0015262559,0.0015939733,0.0029841778,0.0009053745],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036549787,0.00087765366,0.0005021243,0.0005688613,0.0002184255,0.00016115076,0.03270196,0.0029055877,0.00083400303,0.2375419,0.13943325,0.58421856],"study_design_scores_gemma":[0.000036785957,0.00030514583,0.00040225225,0.0017766652,0.00017819939,0.00018372526,0.005183913,0.06651971,0.08269507,0.036110427,0.80517155,0.0014365469],"about_ca_topic_score_codex":0.020961547,"about_ca_topic_score_gemma":0.016227758,"teacher_disagreement_score":0.66573834,"about_ca_system_score_codex":0.0032260586,"about_ca_system_score_gemma":0.02093697,"threshold_uncertainty_score":0.99996275},"labels":[],"label_agreement":null},{"id":"W4413499313","doi":"10.64628/aap.99ugdt46n","title":"L’intelligence artificielle inquiète. Il est temps d’éduquer la population à la programmation","year":2023,"lang":"fr","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.08595247799620044,"score_gpt":0.35452790878262647,"score_spread":0.26857543078642604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413499313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12431603,0.0003942248,0.7908841,0.02329786,0.009053855,0.001335634,0.000012837308,0.0017943355,0.04891113],"genre_scores_gemma":[0.93517107,0.00031501512,0.012484267,0.00017875854,0.0006758246,0.00014652895,0.000102058075,0.0000551738,0.050871324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99572384,0.00068839843,0.0010263064,0.00093898753,0.0007636978,0.00085876015],"domain_scores_gemma":[0.9969495,0.0010593506,0.00032439517,0.0009603229,0.00044904574,0.00025738662],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002504162,0.0003887847,0.0002880073,0.0004359043,0.0004823454,0.0012701626,0.0009169276,0.00045854863,0.00054140604],"category_scores_gemma":[0.0006994467,0.00041961586,0.00016203287,0.0032761544,0.0004446911,0.001931098,0.00033995401,0.00046453316,0.011252825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005794008,0.000282622,0.001249785,0.000066182925,0.000014563532,0.000019239598,0.0068803304,0.020981202,0.0002618649,0.44522062,0.0047143265,0.5203035],"study_design_scores_gemma":[0.00003217614,0.000105599414,0.003918719,0.00016516265,0.000025832853,0.000054615262,0.002860779,0.756678,0.009447544,0.06143028,0.16474701,0.00053431734],"about_ca_topic_score_codex":0.0032416023,"about_ca_topic_score_gemma":0.00069542,"teacher_disagreement_score":0.81085503,"about_ca_system_score_codex":0.00023151588,"about_ca_system_score_gemma":0.00032815547,"threshold_uncertainty_score":0.99982554},"labels":[],"label_agreement":null},{"id":"W4416019805","doi":"10.1080/02619768.2025.2584283","title":"Artificial intelligence in the context of teacher education: emerging themes and critical issues","year":2025,"lang":"en","type":"article","venue":"European Journal of Teacher Education","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Council for Canadian Studies","keywords":"Context (archaeology); Context effect; Higher education; Teacher education; Teaching method","score_opus":0.047493950265949,"score_gpt":0.3817126463168193,"score_spread":0.3342186960508703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416019805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.624434,0.014066452,0.19695356,0.12634619,0.007748067,0.000535194,7.039705e-7,0.000043277614,0.029872553],"genre_scores_gemma":[0.9901248,0.00008404332,0.008453223,0.00046943134,0.00045611506,0.0000047133967,6.580863e-7,0.000008341251,0.00039864518],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9976793,0.00089397206,0.00082197087,0.00019975472,0.00025164464,0.00015334743],"domain_scores_gemma":[0.9986102,0.00025079036,0.00031040635,0.00036332276,0.0004124462,0.00005280796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023662206,0.00012426995,0.00016461074,0.00034286387,0.00010128413,0.00017148355,0.00091860973,0.000028583638,0.00004171047],"category_scores_gemma":[0.0011890746,0.00009716968,0.000060461232,0.0005378189,0.0001718475,0.0005561765,0.00007626335,0.00035701244,0.000014957733],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009769106,0.0009731328,0.002505504,0.000024827912,0.000007101376,0.0000011581411,0.030925348,0.000009740308,0.0004532948,0.19134882,0.0037021525,0.77003914],"study_design_scores_gemma":[0.00012914088,0.00070571166,0.12661937,0.002040886,0.00016570659,0.00025538247,0.5036728,0.0043362402,0.029103134,0.24501453,0.08709719,0.0008599331],"about_ca_topic_score_codex":0.000059957358,"about_ca_topic_score_gemma":0.000011103991,"teacher_disagreement_score":0.7691792,"about_ca_system_score_codex":0.00006882642,"about_ca_system_score_gemma":0.0006627944,"threshold_uncertainty_score":0.39624643},"labels":[],"label_agreement":null},{"id":"W4417124761","doi":"10.15690/pf.v22i5.2958","title":"Development of Medical Decision Making Support System","year":2025,"lang":"","type":"article","venue":"Педиатрическая фармакология","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute","funders":"","keywords":"Preprocessor; Key (lock); Decision support system; Knowledge base; Clinical decision support system; Expert system; Medical decision making; Decision tree; Development (topology)","score_opus":0.051539304560585024,"score_gpt":0.3940217807457256,"score_spread":0.34248247618514055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417124761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04180008,0.0007286195,0.92611027,0.0013465434,0.012771197,0.0006880338,0.0000055031014,0.00022443847,0.016325295],"genre_scores_gemma":[0.8653862,0.000052752748,0.13311271,0.0003904589,0.00028479696,0.000059334037,0.0000058525816,0.000033746026,0.0006741495],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99018294,0.00028063363,0.0034856705,0.0014889501,0.0034532375,0.0011085947],"domain_scores_gemma":[0.9949665,0.00087597925,0.0009215932,0.0019781557,0.000851699,0.00040605347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0043693106,0.00063976046,0.00096798356,0.0010059916,0.00072290195,0.00041110834,0.0047601154,0.0008190556,0.0010544704],"category_scores_gemma":[0.0011294088,0.00067004067,0.00030946097,0.0026375882,0.00040103518,0.00067190913,0.002201704,0.00073691853,0.0011291783],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071031514,0.0005163231,0.0006539591,0.00064758566,0.00011929405,0.000042521086,0.008596228,0.0001567505,0.0003168322,0.14055403,0.003175418,0.84515005],"study_design_scores_gemma":[0.001314421,0.0004065978,0.0076698,0.033229288,0.00032908222,0.00020106221,0.018255034,0.6725178,0.11458127,0.010717346,0.13792668,0.0028516608],"about_ca_topic_score_codex":0.00006387257,"about_ca_topic_score_gemma":0.000198213,"teacher_disagreement_score":0.8422984,"about_ca_system_score_codex":0.0010330648,"about_ca_system_score_gemma":0.008495547,"threshold_uncertainty_score":0.9998587},"labels":[],"label_agreement":null},{"id":"W4417527688","doi":"","title":"Étude exploratoire sur les usages, l’adoption de l’intelligence artificielle générative par les professionnels de l’éducation en formation initiale dans des territoires francophones du Québec (Canada), de l’Alsace (France) et des Antilles françaises (Martinique et Guadeloupe).","year":2025,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Context (archaeology); Domain (mathematical analysis); Vulnerability (computing)","score_opus":0.05542013073375234,"score_gpt":0.2923139982220721,"score_spread":0.23689386748831975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417527688","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39726764,0.0016133481,0.57391435,0.023508443,0.0005125761,0.0006573946,0.00006544532,0.00019701861,0.002263793],"genre_scores_gemma":[0.9006518,0.0050831027,0.0908182,0.00037217396,0.00009383727,0.00056124874,0.00022885867,0.000060775612,0.002129976],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9792358,0.01621981,0.0015622503,0.0012414495,0.0007296588,0.0010110141],"domain_scores_gemma":[0.9854008,0.0065299324,0.0012631882,0.0017756303,0.004655898,0.00037454662],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009327793,0.000774102,0.000647757,0.00034185176,0.003214784,0.0009684538,0.002405507,0.00063791766,0.0001438625],"category_scores_gemma":[0.008517994,0.0008821154,0.0002647146,0.001101427,0.0015136352,0.0018962878,0.0010725597,0.0013494431,0.000025739288],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049131424,0.0018074146,0.036098156,0.00093243114,0.00010507635,0.000013476597,0.6359111,0.026529133,0.023500841,0.05869618,0.0013899264,0.21496712],"study_design_scores_gemma":[0.00016426951,0.000006305012,0.04657852,0.008463794,0.00008023956,0.00004959599,0.037805013,0.26300403,0.617128,0.017768998,0.007946971,0.001004207],"about_ca_topic_score_codex":0.7701956,"about_ca_topic_score_gemma":0.9528496,"teacher_disagreement_score":0.5981061,"about_ca_system_score_codex":0.002286463,"about_ca_system_score_gemma":0.01116431,"threshold_uncertainty_score":0.9998337},"labels":[],"label_agreement":null},{"id":"W4417527691","doi":"","title":"Exploratory study on the place of generative AI among future education professionals in initial training in French-speaking territories","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Exploratory research; Training (meteorology); Qualitative research; Generative grammar; Experiential learning","score_opus":0.08525550860790111,"score_gpt":0.3965528215250533,"score_spread":0.3112973129171522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417527691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681018,0.00007631345,0.011979856,0.0059218556,0.009966623,0.0017933847,0.000005646924,0.000047558908,0.0021069606],"genre_scores_gemma":[0.99568856,0.0000030143449,0.0019424018,0.00049205695,0.00082866324,0.0008724064,0.000010854055,0.000007707317,0.00015436452],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9971354,0.00087298726,0.00073176867,0.0006243413,0.00042342168,0.00021208433],"domain_scores_gemma":[0.9981287,0.0005096347,0.00034545254,0.0007142859,0.000269477,0.00003243886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012397469,0.00025455732,0.00031882353,0.00049915997,0.000112047564,0.00014030868,0.0011938753,0.00021105054,0.000019858813],"category_scores_gemma":[0.0002961921,0.00019342735,0.000051553277,0.0006230179,0.00008265311,0.00045932416,0.0006538233,0.0010310216,0.0000024624405],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011197662,0.0013524323,0.01945386,0.00004763204,0.000022596221,0.000002636253,0.9137722,0.0035126533,0.000026294347,0.034560554,0.0008148958,0.026423045],"study_design_scores_gemma":[0.00012952113,0.00016908447,0.06484826,0.0025004419,0.000012167896,4.496176e-7,0.869249,0.01770309,0.012718756,0.031904243,0.00015813192,0.00060687703],"about_ca_topic_score_codex":0.0017873565,"about_ca_topic_score_gemma":0.019744618,"teacher_disagreement_score":0.045394395,"about_ca_system_score_codex":0.00029702514,"about_ca_system_score_gemma":0.0034059512,"threshold_uncertainty_score":0.9981425},"labels":[],"label_agreement":null},{"id":"W6890074063","doi":"10.3389/fmicb.2018.00773.s001","title":"Image1_Atmospheric Precipitations, Hailstone and Rainwater, as a Novel Source of Streptomyces Producing Bioactive Natural Products.PDF","year":2018,"lang":"en","type":"other","venue":"Figshare","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Streptomyces; Arctic; Extreme environment; Streptomyces griseus; 16S ribosomal RNA; Genus","score_opus":0.0243233774469771,"score_gpt":0.2844577180847324,"score_spread":0.2601343406377553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890074063","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01048659,0.032693725,0.03017882,0.007318728,0.018637143,0.027681159,0.07445595,0.0075800032,0.7909679],"genre_scores_gemma":[0.011194113,0.000018766988,0.08965086,0.0001117255,0.0015111095,0.00044860822,0.010053162,0.00031700608,0.88669467],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831915,0.000049353657,0.00028182313,0.00080614333,0.00028933716,0.00025421105],"domain_scores_gemma":[0.9982061,0.00010452896,0.00053202105,0.00070860534,0.00039170697,0.000057037258],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008437456,0.00027515806,0.00025709174,0.000100423866,0.00008689554,0.00015204595,0.0006901662,0.00014359427,0.027231816],"category_scores_gemma":[0.0015892509,0.00025787565,0.000044205244,0.0005144548,0.00006948441,0.0003890464,0.00029985415,0.00016734228,0.0030815268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054047628,0.00012607325,0.000020119529,0.00041576583,0.00006521728,0.0000011787619,0.0049511376,0.0000068479862,0.0012826376,0.000036658766,0.9691269,0.023962079],"study_design_scores_gemma":[0.00017089654,0.00024702516,0.0006921829,0.0060847597,0.000040108753,0.00004257435,0.0008677478,0.0040446627,0.088390425,0.00026153377,0.89808816,0.0010699205],"about_ca_topic_score_codex":0.00030220655,"about_ca_topic_score_gemma":0.000052308827,"teacher_disagreement_score":0.09572676,"about_ca_system_score_codex":0.00005561248,"about_ca_system_score_gemma":0.00028720626,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W6893212361","doi":"10.5281/zenodo.14918390","title":"Rôle-conseil et conception pédagogique [support de présentation] Association canadienne des concepteurs pédagogiques, 3 décembre 2014","year":2014,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Data collection; Association (psychology); Context (archaeology); Research methodology","score_opus":0.06295609189610374,"score_gpt":0.3117143887346142,"score_spread":0.24875829683851047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893212361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06649527,0.00038898195,0.79542977,0.034471966,0.0038136474,0.001241138,0.00028143259,0.0016681501,0.096209675],"genre_scores_gemma":[0.93586934,0.000930093,0.008854269,0.0027732125,0.0017380503,9.862896e-7,0.0019842372,0.0014040826,0.046445724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934395,0.0032677678,0.00069096783,0.0008447575,0.00053420843,0.0012228291],"domain_scores_gemma":[0.99545807,0.00030375356,0.0005779823,0.0007277175,0.0023302233,0.00060226565],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0056224954,0.00032755692,0.00028948678,0.00029960903,0.0026152597,0.002238073,0.0015926337,0.00032259728,0.008207467],"category_scores_gemma":[0.005192624,0.00040664055,0.000115944255,0.00081700465,0.000572717,0.0017370104,0.0006967379,0.0006893862,0.012313134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030624466,0.000276785,0.00017834672,0.00010599359,0.000061871266,0.000010132568,0.036030777,0.0012076164,0.0019424906,0.061591655,0.5695477,0.32901597],"study_design_scores_gemma":[0.00028283845,0.00056935096,0.0026004266,0.00010443376,0.000040479958,0.00016280847,0.002742818,0.014845597,0.001885158,0.0057076165,0.9706242,0.000434242],"about_ca_topic_score_codex":0.002409079,"about_ca_topic_score_gemma":0.00020112203,"teacher_disagreement_score":0.8693741,"about_ca_system_score_codex":0.0024748575,"about_ca_system_score_gemma":0.00023612296,"threshold_uncertainty_score":0.99983853},"labels":[],"label_agreement":null},{"id":"W6911763726","doi":"10.5281/zenodo.13349673","title":"L'IA comme complice du formateur","year":2024,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Work (physics); Subject (documents); Initial training","score_opus":0.13906347975479735,"score_gpt":0.33130467715612516,"score_spread":0.1922411974013278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6911763726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006376278,0.0039794203,0.5924585,0.06133982,0.007003471,0.0009288763,0.00029172207,0.0037367567,0.32388514],"genre_scores_gemma":[0.9755141,0.00092805555,0.0027514317,0.0012559118,0.0018404529,1.3062726e-7,0.0009339923,0.0023420125,0.014433894],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970525,0.00057882926,0.00048623973,0.00068746536,0.00051540934,0.0006795601],"domain_scores_gemma":[0.9977734,0.000116161136,0.0001018933,0.0008055089,0.0008941971,0.0003088157],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001352615,0.00024081366,0.0001806696,0.00032451065,0.0028757271,0.006114445,0.0025203319,0.00012562085,0.01588232],"category_scores_gemma":[0.00052928017,0.00027993272,0.00010134936,0.0014841193,0.0003991762,0.00188055,0.0022182998,0.00056085177,0.12052998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007847396,0.00014315775,0.0000012131746,0.00015558786,0.000029629298,0.00003178715,0.007932055,0.00014422672,0.0005297452,0.25496867,0.39200884,0.34404725],"study_design_scores_gemma":[0.00005906932,0.00017536725,0.00011120345,0.0001831429,0.000018453398,0.00057164056,0.0005882803,0.091450624,0.00082319725,0.005547796,0.90020967,0.00026152926],"about_ca_topic_score_codex":0.0001617733,"about_ca_topic_score_gemma":0.0000014915331,"teacher_disagreement_score":0.96913785,"about_ca_system_score_codex":0.00042184952,"about_ca_system_score_gemma":0.000021271517,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W6912154297","doi":"10.5281/zenodo.15388598","title":"Grille d'évaluation de l'utilisation d'un outil d'intelligence artificielle en enseignement supérieur","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Work (physics); Field (mathematics); Context (archaeology); Identifier","score_opus":0.0717072321513004,"score_gpt":0.30630255154488545,"score_spread":0.23459531939358505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912154297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013396001,0.00086798274,0.88857895,0.012740128,0.0019891302,0.0008976858,0.00006049485,0.0006504478,0.08081918],"genre_scores_gemma":[0.9580887,0.00078250613,0.017741174,0.0009971682,0.00059412076,7.504411e-7,0.0008383657,0.0008235151,0.020133732],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951179,0.0016895101,0.00077695097,0.00091385294,0.0007009278,0.0008008449],"domain_scores_gemma":[0.9967198,0.00021120958,0.00024382252,0.0010438983,0.0015410414,0.0002402269],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035997482,0.0002963891,0.00023001652,0.00047546215,0.0035268683,0.0020720814,0.0021417737,0.00022276805,0.011169984],"category_scores_gemma":[0.002572955,0.00037154404,0.000117027135,0.0017754523,0.0003769166,0.00081067166,0.0015579691,0.0005026169,0.009963464],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003237311,0.00043724553,0.000008431823,0.00008860275,0.000047007175,0.0000070338274,0.02539763,0.0038235162,0.002896894,0.1463249,0.07564164,0.74529475],"study_design_scores_gemma":[0.00011940921,0.00023706198,0.00094310596,0.00017542465,0.000050720882,0.000058501857,0.0055694594,0.20497508,0.023419803,0.02538836,0.7387243,0.00033874813],"about_ca_topic_score_codex":0.00025574747,"about_ca_topic_score_gemma":0.0000049387213,"teacher_disagreement_score":0.9446927,"about_ca_system_score_codex":0.0010635812,"about_ca_system_score_gemma":0.000096270065,"threshold_uncertainty_score":0.99987364},"labels":[],"label_agreement":null},{"id":"W6926568062","doi":"10.25549/wpacards-c8-116965","title":"WPA block face card for household census (block 2260) in Los Angeles","year":2014,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Block (permutation group theory); Face (sociological concept); Quarter (Canadian coin); Population","score_opus":0.02003063032188049,"score_gpt":0.20205941133162053,"score_spread":0.18202878100974004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926568062","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001832989,0.00005248703,0.001785358,0.00020459187,0.00014592927,0.00034135376,0.9953223,0.00012004144,0.00019497014],"genre_scores_gemma":[0.005491414,0.000021083857,0.0014439782,0.00011677999,0.00019212128,0.0000013053321,0.99236697,0.000039833787,0.00032650144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99844503,0.0000482032,0.00031555345,0.0005538202,0.0002854983,0.00035186918],"domain_scores_gemma":[0.99854106,0.00021912118,0.00031583227,0.00072029064,0.000052429114,0.00015124313],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008832525,0.0002937415,0.00038585358,0.00030599063,0.00010601697,0.00019396878,0.0017953434,0.00029845795,0.0000073816213],"category_scores_gemma":[0.000052734078,0.0003306549,0.00020286649,0.00031915348,0.00017597314,0.00051114836,0.0005659255,0.00025351575,0.00044054232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035906407,0.00014106918,0.0003635462,0.00011058109,0.000020280037,0.0000148091885,0.00006660392,0.00030967986,0.0000018620901,0.000020742053,0.99776536,0.0011495682],"study_design_scores_gemma":[0.000116225965,0.000041467865,0.000006996882,0.000120245546,0.00002005003,0.00000433838,0.0007550228,0.0008233202,0.000104947794,0.00066442945,0.9969975,0.00034549515],"about_ca_topic_score_codex":0.00014466637,"about_ca_topic_score_gemma":0.00006515548,"teacher_disagreement_score":0.0036584253,"about_ca_system_score_codex":0.00006910333,"about_ca_system_score_gemma":0.00021263928,"threshold_uncertainty_score":0.9999145},"labels":[],"label_agreement":null},{"id":"W6949644379","doi":"10.5281/zenodo.16636981","title":"Pourquoi les licences CC sont utiles en pédagogie ? Libérer ses savoirs","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Legislation; Order (exchange); Derogation; Quality (philosophy); Product (mathematics)","score_opus":0.1027471826525776,"score_gpt":0.32774481703546227,"score_spread":0.22499763438288467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949644379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07796168,0.0093193855,0.41427398,0.1859624,0.0069624567,0.002085901,0.0003226212,0.0037472292,0.29936436],"genre_scores_gemma":[0.8978513,0.0022661374,0.008116034,0.001138516,0.001242195,3.5870528e-7,0.00037711972,0.0013172191,0.08769114],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99608463,0.001053427,0.000565373,0.00088526,0.00056329655,0.0008480046],"domain_scores_gemma":[0.9970529,0.0003406725,0.00020054883,0.00092567527,0.0012134083,0.00026675893],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014543462,0.00029858755,0.00025226452,0.00045797366,0.0030742707,0.0031631025,0.0032659725,0.00020543985,0.008783154],"category_scores_gemma":[0.003302992,0.0003357103,0.000116041636,0.0015761591,0.00070306245,0.0012042903,0.0025975457,0.0005757646,0.01612585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021263286,0.000755495,0.000023393412,0.00012047168,0.000059051377,0.000013536043,0.012304282,0.00027932436,0.00063480134,0.13359047,0.25229335,0.59990454],"study_design_scores_gemma":[0.00019353055,0.00017214732,0.0004097185,0.0002564166,0.000030821677,0.000046648773,0.005059544,0.010110224,0.0032645054,0.0063173445,0.97382677,0.00031235136],"about_ca_topic_score_codex":0.00036858165,"about_ca_topic_score_gemma":0.000011041949,"teacher_disagreement_score":0.8198896,"about_ca_system_score_codex":0.0004618952,"about_ca_system_score_gemma":0.00008709474,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W6968160928","doi":"10.5281/zenodo.14732829","title":"Enseigner en contexte de pandémie : guide pour l'accompagnement pédagogique","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Context (archaeology); Identification (biology); Identity (music)","score_opus":0.09423373134432024,"score_gpt":0.3111748577156631,"score_spread":0.21694112637134289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968160928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009115635,0.0008205559,0.7997993,0.103046186,0.0007754858,0.0007684455,0.000087621636,0.0010499161,0.084536836],"genre_scores_gemma":[0.94074905,0.0007952712,0.02038478,0.007387486,0.0026272198,3.174443e-7,0.00045193388,0.0022312114,0.025372712],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592495,0.0014680631,0.00057837216,0.00076698157,0.00051162485,0.0007500123],"domain_scores_gemma":[0.9973653,0.00014056603,0.00020835391,0.0006462458,0.0010708346,0.00056869205],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001653534,0.00026048016,0.00023193577,0.00012780986,0.0020089198,0.0018959644,0.0024495025,0.00014985238,0.020837422],"category_scores_gemma":[0.002762813,0.00030875125,0.00010487351,0.0007731002,0.00027498588,0.0007312403,0.0019756441,0.00054443587,0.031223115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031958552,0.00025275495,0.000008651089,0.000080657985,0.000045924335,0.000041725154,0.034765862,0.0007389185,0.0067351023,0.050252132,0.43439424,0.47265208],"study_design_scores_gemma":[0.0001909053,0.00035052607,0.00037921465,0.00006724865,0.00002176721,0.00012312813,0.0023009148,0.036409043,0.0052697523,0.0015727938,0.953008,0.00030672114],"about_ca_topic_score_codex":0.00012255287,"about_ca_topic_score_gemma":0.0000019612241,"teacher_disagreement_score":0.9316334,"about_ca_system_score_codex":0.0005936343,"about_ca_system_score_gemma":0.00006725124,"threshold_uncertainty_score":0.99993646},"labels":[],"label_agreement":null},{"id":"W6968364888","doi":"10.5281/zenodo.14732828","title":"Enseigner en contexte de pandémie : guide pour l'accompagnement pédagogique","year":2020,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Context (archaeology); Identification (biology); Identity (music)","score_opus":0.09423373134432024,"score_gpt":0.3111748577156631,"score_spread":0.21694112637134289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968364888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009115635,0.0008205559,0.7997993,0.103046186,0.0007754858,0.0007684455,0.000087621636,0.0010499161,0.084536836],"genre_scores_gemma":[0.94074905,0.0007952712,0.02038478,0.007387486,0.0026272198,3.174443e-7,0.00045193388,0.0022312114,0.025372712],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592495,0.0014680631,0.00057837216,0.00076698157,0.00051162485,0.0007500123],"domain_scores_gemma":[0.9973653,0.00014056603,0.00020835391,0.0006462458,0.0010708346,0.00056869205],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001653534,0.00026048016,0.00023193577,0.00012780986,0.0020089198,0.0018959644,0.0024495025,0.00014985238,0.020837422],"category_scores_gemma":[0.002762813,0.00030875125,0.00010487351,0.0007731002,0.00027498588,0.0007312403,0.0019756441,0.00054443587,0.031223115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031958552,0.00025275495,0.000008651089,0.000080657985,0.000045924335,0.000041725154,0.034765862,0.0007389185,0.0067351023,0.050252132,0.43439424,0.47265208],"study_design_scores_gemma":[0.0001909053,0.00035052607,0.00037921465,0.00006724865,0.00002176721,0.00012312813,0.0023009148,0.036409043,0.0052697523,0.0015727938,0.953008,0.00030672114],"about_ca_topic_score_codex":0.00012255287,"about_ca_topic_score_gemma":0.0000019612241,"teacher_disagreement_score":0.9316334,"about_ca_system_score_codex":0.0005936343,"about_ca_system_score_gemma":0.00006725124,"threshold_uncertainty_score":0.99993646},"labels":[],"label_agreement":null},{"id":"W6974045163","doi":"10.58079/u3c9","title":"11ème sommet du numérique en éducation, 4-5 mai 2023, Montréal","year":2023,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Context (archaeology); Government (linguistics); Focus (optics); Face (sociological concept)","score_opus":0.05508553038788984,"score_gpt":0.2863215880077387,"score_spread":0.2312360576198489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6974045163","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15934075,0.0012654243,0.039311722,0.74251676,0.017111981,0.0013127646,0.00022129368,0.0011579015,0.03776138],"genre_scores_gemma":[0.630617,0.0008475792,0.00258148,0.0015561216,0.004434984,0.00006990611,0.00037065675,0.00010025376,0.359422],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953942,0.00092113274,0.0006276149,0.0010615708,0.0006973102,0.0012982178],"domain_scores_gemma":[0.9962187,0.0009976261,0.00042654862,0.0010068214,0.00074385206,0.0006064722],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014458012,0.00054032484,0.00045192442,0.0006291887,0.000872283,0.00086078094,0.00207792,0.0010918626,0.0015316132],"category_scores_gemma":[0.0017718765,0.0006478734,0.0002868731,0.004714827,0.00037189302,0.0029000787,0.0006088464,0.0012628795,0.009121347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019926854,0.0002932014,0.00067360967,0.00003187349,0.00012529509,0.00025325906,0.04595096,0.0030768292,0.0010490426,0.12248386,0.80302,0.023022164],"study_design_scores_gemma":[0.0007168945,0.0002498409,0.06104529,0.00036557805,0.00010893716,0.0004095721,0.09299615,0.063286014,0.005298136,0.01298051,0.76103437,0.0015087182],"about_ca_topic_score_codex":0.014379345,"about_ca_topic_score_gemma":0.0023383999,"teacher_disagreement_score":0.74096066,"about_ca_system_score_codex":0.002108531,"about_ca_system_score_gemma":0.0018059139,"threshold_uncertainty_score":0.99959725},"labels":[],"label_agreement":null},{"id":"W6990051637","doi":"","title":"Conception d'une grille d'analyse des langages de programmation utilisés en algorithmique dans le programme Techniques de l'informatique","year":2018,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Discoverability; Conservative extension; Linked data","score_opus":0.019713519596358416,"score_gpt":0.2687106578922763,"score_spread":0.24899713829591785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990051637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0575279,0.001010002,0.78333116,0.010996263,0.00021241851,0.0016316901,0.00006742287,0.0006996465,0.14452352],"genre_scores_gemma":[0.45047882,0.0017384886,0.340039,0.0012386577,0.002442792,0.0022336,0.00017847326,0.00038638368,0.20126377],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99487996,0.0011808955,0.0011112537,0.0008617955,0.001010864,0.0009552117],"domain_scores_gemma":[0.99358994,0.0038399699,0.0011149218,0.00074278895,0.00031449372,0.00039788993],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018567308,0.00074493553,0.0005436357,0.0010939975,0.0006984969,0.0013074436,0.0018197529,0.00040068183,0.00177511],"category_scores_gemma":[0.0040634996,0.00077871216,0.0003695747,0.0016100777,0.0015126021,0.001998451,0.00053383084,0.00064206903,0.0006251622],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00012568182,0.0020357398,0.080597155,0.0008889103,0.0006394866,0.00003625417,0.20582081,0.00049196975,0.0056156805,0.22911882,0.052576862,0.42205262],"study_design_scores_gemma":[0.0005530277,0.0008725972,0.10747477,0.0015063243,0.00023987991,0.00034327147,0.008511892,0.09930708,0.051414892,0.018075103,0.70960283,0.0020983403],"about_ca_topic_score_codex":0.38295192,"about_ca_topic_score_gemma":0.9368478,"teacher_disagreement_score":0.657026,"about_ca_system_score_codex":0.0122461,"about_ca_system_score_gemma":0.058253385,"threshold_uncertainty_score":0.9997293},"labels":[],"label_agreement":null},{"id":"W7024160223","doi":"","title":"Python Programming Language as a Tool For Integrating Learning Subjects in the Implementation of the Robotics in Secondary Education","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Technological University Dublin; Universidade do Minho; International Council for Canadian Studies; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo; Dublin City University; University of Limerick; National University of Ireland","keywords":"Scripting language; Python (programming language); Curriculum; Robotics; Competence (human resources); Theme (computing)","score_opus":0.026126537689870336,"score_gpt":0.3992250349936006,"score_spread":0.3730984973037303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024160223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97947055,0.000025466241,0.01704751,0.0019193921,0.00057321903,0.0005901686,2.2056587e-7,0.000010101686,0.00036337692],"genre_scores_gemma":[0.9824645,0.0000011588959,0.017309284,0.00008480721,0.000034716173,0.000071362556,5.593311e-7,0.0000026119048,0.00003102634],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990489,0.000071454226,0.00021380988,0.00021366695,0.0002537396,0.00019841187],"domain_scores_gemma":[0.99902594,0.00013201535,0.0002538153,0.00046676307,0.000108083324,0.000013356895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021937138,0.000055622495,0.00005572048,0.000100178615,0.0005147454,0.0004048664,0.0016093067,0.000018052828,0.0000017446998],"category_scores_gemma":[0.0012973594,0.000037431317,0.00002295498,0.00049625355,0.00019690188,0.00096924877,0.00014640512,0.0001324111,0.0000015280503],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012922353,0.000045847195,0.03913752,0.000014089979,4.0414602e-7,1.9942105e-7,0.059432033,0.0002693697,0.009411578,0.024647927,0.0000059998424,0.8670337],"study_design_scores_gemma":[0.00018733535,0.00020740864,0.5774011,0.00026381432,0.000005597897,0.000013461992,0.15987734,0.039761864,0.19599915,0.02552134,0.0004761879,0.00028539493],"about_ca_topic_score_codex":0.0010265254,"about_ca_topic_score_gemma":0.002897122,"teacher_disagreement_score":0.86674833,"about_ca_system_score_codex":0.00009272179,"about_ca_system_score_gemma":0.0010420694,"threshold_uncertainty_score":0.39590573},"labels":[],"label_agreement":null},{"id":"W7027263922","doi":"","title":"Ça ne te regarde pas !","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"French; Context (archaeology); Identification (biology); German","score_opus":0.04577788716649484,"score_gpt":0.2785897051637709,"score_spread":0.23281181799727607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027263922","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09050304,0.0037745137,0.4954759,0.31336784,0.00455338,0.00064032857,0.000043426695,0.0011481463,0.09049344],"genre_scores_gemma":[0.6565215,0.0021168562,0.059827283,0.00088327465,0.00023702555,0.00009417464,0.0001678859,0.00008641481,0.28006557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9910742,0.0055144336,0.00076817756,0.0010503955,0.0007053441,0.0008874729],"domain_scores_gemma":[0.9907425,0.002780122,0.0004358325,0.0029448352,0.0027118435,0.00038486344],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008254193,0.00036035845,0.00032334475,0.0003427803,0.00083752174,0.0010520618,0.002438501,0.00027806812,0.0005121517],"category_scores_gemma":[0.003225306,0.00043257646,0.00022387966,0.002458037,0.0006028438,0.0009241355,0.0011057173,0.0005348641,0.004829439],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036037115,0.00037875804,0.0007711136,0.000052767857,0.000029442906,0.000012130153,0.025286505,0.00012915218,0.0020591428,0.573328,0.021812147,0.37613726],"study_design_scores_gemma":[0.00017819986,0.0000010838228,0.004363401,0.0012013431,0.000034323504,0.000034976736,0.00096718036,0.1578221,0.11792778,0.034762185,0.6820955,0.00061188877],"about_ca_topic_score_codex":0.0041398583,"about_ca_topic_score_gemma":0.0045807995,"teacher_disagreement_score":0.6602834,"about_ca_system_score_codex":0.00023380392,"about_ca_system_score_gemma":0.00061820116,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W7028922963","doi":"","title":"Hydro Ottawa's environmental sustainability efforts bloom into a tenth year as Canada's Greenest Employer","year":2021,"lang":"en","type":"other","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Bloom; Government (linguistics); Environmental impact assessment","score_opus":0.006409599361287574,"score_gpt":0.24661556633054227,"score_spread":0.2402059669692547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028922963","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026424395,0.0015785373,0.05279174,0.010739969,0.008225136,0.0029573368,0.00003851876,0.0009979691,0.8962464],"genre_scores_gemma":[0.18679239,0.00003546119,0.006749023,0.0006910132,0.00050908554,0.000080290316,0.00008768131,0.00022097741,0.80483407],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997611,0.00009351366,0.00035056303,0.00089372526,0.00061684195,0.00043435098],"domain_scores_gemma":[0.9981893,0.00006199567,0.00017462758,0.0013123221,0.000044763085,0.00021704573],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017314266,0.00033514254,0.00029279114,0.0001317725,0.00010895371,0.00012315402,0.0010094232,0.00022442383,0.006458608],"category_scores_gemma":[0.00009103197,0.00032857966,0.00009293745,0.00023815793,0.00012479101,0.00009854701,0.0004231111,0.00022231635,0.00017821619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038103403,0.00062288914,0.03058467,0.00018362088,0.00013767382,0.00031471715,0.0010149726,0.000057517085,0.00007418778,0.0150953,0.8979017,0.05400895],"study_design_scores_gemma":[0.000044003507,0.000044816905,0.0018598315,0.00005018425,0.000017244416,0.000019253579,0.000597549,0.00044889454,0.0013558409,0.0030177196,0.9919582,0.0005864756],"about_ca_topic_score_codex":0.8497757,"about_ca_topic_score_gemma":0.8666077,"teacher_disagreement_score":0.160368,"about_ca_system_score_codex":0.0011671139,"about_ca_system_score_gemma":0.002157521,"threshold_uncertainty_score":0.9999166},"labels":[],"label_agreement":null},{"id":"W7029158361","doi":"","title":"Impacts of nutrient loads on the invasion potential of Butomus umbellatus L. on Ottawa National Wildlife Refuge diked wetlands","year":2020,"lang":"en","type":"article","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wildlife refuge; Wetland; Nutrient; Marsh; Current (fluid); Wildlife","score_opus":0.016467807754347787,"score_gpt":0.22678004304134436,"score_spread":0.21031223528699658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029158361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51427066,0.00016722147,0.045793924,0.042130988,0.003125083,0.0017589359,0.00016806678,0.00038279084,0.3922023],"genre_scores_gemma":[0.98760384,0.00022738209,0.0005359802,0.0110743465,0.00040009886,0.000009150282,0.00012364343,0.000008005699,0.000017528815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981668,0.00012544914,0.00075820397,0.00019400365,0.00050244346,0.00025310452],"domain_scores_gemma":[0.99874985,0.00020996542,0.00050794875,0.00028470103,0.000095838586,0.00015166515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685776,0.00017751586,0.00020684654,0.00012149692,0.00015908439,0.00013535353,0.00052840525,0.000106582374,0.00007653782],"category_scores_gemma":[0.0000832168,0.0001311778,0.000087951616,0.00057528453,0.00008316939,0.004047545,0.00020019861,0.00022880262,0.000034978195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019046219,0.000104567334,0.0006825721,0.000045305682,0.000022740289,4.9302446e-7,0.0010001719,0.008467366,0.00007509104,0.97244054,0.01418679,0.0027838903],"study_design_scores_gemma":[0.0014797973,0.0021870185,0.01955445,0.00091883424,0.00002475264,0.000016612765,0.00011027259,0.44032124,0.038387906,0.015589128,0.48059106,0.00081892934],"about_ca_topic_score_codex":2.2766696e-7,"about_ca_topic_score_gemma":2.3573422e-7,"teacher_disagreement_score":0.9568514,"about_ca_system_score_codex":0.00001611605,"about_ca_system_score_gemma":0.0001183069,"threshold_uncertainty_score":0.53492755},"labels":[],"label_agreement":null},{"id":"W7036855312","doi":"","title":"The Contested Academy: African Canadian Women’s Experiences as Tenured, Tenure Stream and Non-tenured Faculty","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoethnography; Negotiation; Black women; Intersectionality; Power (physics); Black feminism; Lived experience; Vision; Power structure; Qualitative research","score_opus":0.035999398724680304,"score_gpt":0.37012110946940574,"score_spread":0.3341217107447254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036855312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97512275,0.0021797137,0.00025008197,0.011309635,0.0043476727,0.0012651415,0.000036263402,0.00009070665,0.005398028],"genre_scores_gemma":[0.9679686,0.00047331557,0.00027101242,0.00052493345,0.00046493992,0.0015256032,0.0001845683,0.00006554973,0.0285215],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9939384,0.00036029634,0.0009861814,0.0018151931,0.0010775104,0.0018224135],"domain_scores_gemma":[0.9950869,0.00059835974,0.0008681152,0.0010809398,0.0009471341,0.0014185348],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00085708906,0.0009203502,0.00075467455,0.00035407717,0.0028522057,0.00224084,0.001994333,0.00088227016,0.00038439097],"category_scores_gemma":[0.0014909237,0.00077653024,0.00016982618,0.0017879766,0.0007448933,0.0006556039,0.00018914512,0.0013531566,0.00019547164],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006345394,0.00009554617,0.00034893584,0.00004479706,0.00011713444,0.000051924977,0.9450611,0.00003480876,0.000748271,0.0011527145,0.0023130907,0.049968254],"study_design_scores_gemma":[0.00013050357,0.00023700349,0.0032275752,0.00028252424,0.000051559666,0.000051196217,0.95712554,0.0045055337,0.009683503,0.00060739764,0.023187624,0.00091002224],"about_ca_topic_score_codex":0.16531391,"about_ca_topic_score_gemma":0.23002033,"teacher_disagreement_score":0.06470641,"about_ca_system_score_codex":0.0011894995,"about_ca_system_score_gemma":0.005272403,"threshold_uncertainty_score":0.99946856},"labels":[],"label_agreement":null},{"id":"W7038982196","doi":"","title":"La flexibilité du processus de production des hôpitaux québécois : une approche basée sur la fonction de production","year":2016,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Corporatization; Relations of production","score_opus":0.022238657040617008,"score_gpt":0.21356041924673683,"score_spread":0.19132176220611982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038982196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.673803,0.0033474078,0.26204017,0.024285106,0.0022811582,0.0015119602,0.000009477959,0.0007264352,0.031995326],"genre_scores_gemma":[0.829377,0.0020090616,0.011032908,0.00012975826,0.0025764962,0.00012865257,0.000017488537,0.00026096948,0.15446766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949552,0.0010923083,0.00057642907,0.0017698681,0.00059277087,0.001013444],"domain_scores_gemma":[0.9961598,0.0006831507,0.00070717325,0.0012716678,0.0007570215,0.00042119485],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015423993,0.0007635834,0.000546794,0.00065435923,0.0010381402,0.00022242065,0.0013326586,0.00062244583,0.00048145387],"category_scores_gemma":[0.0018425579,0.0007866732,0.0003038849,0.0011889819,0.0014273586,0.0017755118,0.0003891778,0.00078943995,0.0006987763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002067203,0.0007674215,0.0021300681,0.00037709685,0.00015897733,0.00006247495,0.33400315,0.0012713523,0.0027881223,0.0131845195,0.006177571,0.6388725],"study_design_scores_gemma":[0.00064350176,0.000540872,0.014271618,0.0016124654,0.00060246314,0.0019270254,0.07041763,0.014997855,0.007816184,0.036956403,0.84800136,0.0022126513],"about_ca_topic_score_codex":0.53230417,"about_ca_topic_score_gemma":0.7483888,"teacher_disagreement_score":0.84182376,"about_ca_system_score_codex":0.003307893,"about_ca_system_score_gemma":0.0057130884,"threshold_uncertainty_score":0.9999236},"labels":[],"label_agreement":null},{"id":"W7067770140","doi":"","title":"Non-Biological Caregiversâ Experiences of Fetal Alcohol Spectrum Disorder (FASD) Support Groups","year":2009,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cognitive reframing; Fetal Alcohol Spectrum Disorder; Focus group; Psychological intervention; Intervention (counseling); Qualitative research; Social support; Support group; Prenatal alcohol exposure; Resource (disambiguation)","score_opus":0.023592774683356924,"score_gpt":0.2547887016040633,"score_spread":0.2311959269207064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067770140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540093,0.00004510392,0.03216409,0.0011924614,0.0006731668,0.00025479984,0.000006712026,0.00014740122,0.011506948],"genre_scores_gemma":[0.99617594,0.000023292652,0.0029656235,0.0001544145,0.00005582798,0.0000017595702,0.000010451225,0.000007230498,0.000605448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.998069,0.00014162753,0.00030796614,0.00061061356,0.00037845,0.0004923814],"domain_scores_gemma":[0.99847454,0.00008918568,0.00020535826,0.000857043,0.0001508511,0.00022303697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002890299,0.00025178274,0.00031156276,0.0004508845,0.0004272747,0.00012698866,0.0021790806,0.00016547536,0.00018132749],"category_scores_gemma":[0.000059770282,0.0002596028,0.00018879517,0.001377787,0.00037252135,0.0017490442,0.00036284322,0.00038307323,0.0000788285],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042066613,0.0037912498,0.21985042,0.0000350201,0.00027773136,0.0009124671,0.21112782,0.000771729,0.009190011,0.48407948,0.008197313,0.061346106],"study_design_scores_gemma":[0.0035239677,0.0071373065,0.12019882,0.0002658851,0.00026222732,0.000245875,0.42048848,0.0102743395,0.16268626,0.04951171,0.21978028,0.0056248433],"about_ca_topic_score_codex":0.0000865774,"about_ca_topic_score_gemma":0.00009413805,"teacher_disagreement_score":0.43456775,"about_ca_system_score_codex":0.00014316526,"about_ca_system_score_gemma":0.0002119953,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W7069336417","doi":"","title":"Dayton, Ohio","year":2009,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Boulevard; Natural (archaeology); Table (database); Quarter (Canadian coin); George (robot)","score_opus":0.01207304346249483,"score_gpt":0.22667688834897443,"score_spread":0.2146038448864796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7069336417","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000026455155,0.00062922185,0.054073773,0.0015605728,0.0021557426,0.00040758718,0.000025021864,0.0008401324,0.9403053],"genre_scores_gemma":[0.013553605,0.022441223,0.09173796,0.061930165,0.015149856,0.00019936507,0.0047819037,0.000726252,0.7894797],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802077,0.000097456126,0.0006916213,0.00036706682,0.000285045,0.0005380243],"domain_scores_gemma":[0.99839085,0.000054490643,0.00054374506,0.00076016336,0.00002609938,0.00022466242],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014723264,0.00040727423,0.0003387091,0.0003692871,0.00016962917,0.0007366547,0.0010208227,0.00042406985,0.0012649936],"category_scores_gemma":[0.000011110581,0.00039195735,0.00010158508,0.0005507322,0.00007472,0.011015287,0.00032882154,0.00040622856,0.0006967145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004534728,0.000022716344,0.000017607827,0.000027071468,0.000013453536,9.2388956e-7,0.00021773907,0.00006593185,1.5391093e-7,0.46104354,0.47896668,0.05961964],"study_design_scores_gemma":[0.00011106179,0.000053106483,0.00017567523,0.0002967712,0.000006202407,0.000014604842,0.0000049495557,0.0064378264,0.00003206263,0.0040390575,0.98841745,0.00041121698],"about_ca_topic_score_codex":2.3992808e-7,"about_ca_topic_score_gemma":0.0000017048101,"teacher_disagreement_score":0.5094508,"about_ca_system_score_codex":0.00001704049,"about_ca_system_score_gemma":0.00011679067,"threshold_uncertainty_score":0.99985325},"labels":[],"label_agreement":null},{"id":"W7082624850","doi":"10.15468/dl.e8qjsh","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","score_opus":0.021573513333103818,"score_gpt":0.26099179268797196,"score_spread":0.23941827935486815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082624850","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003012321,0.000016405815,0.0026974862,0.0006163277,0.0022772208,0.0002915597,0.99368864,0.00015903934,0.00022321864],"genre_scores_gemma":[0.000008709959,0.000042666004,0.00003119042,0.00085156126,0.0000018217173,0.0000057961684,0.99905795,3.451276e-9,3.2964556e-7],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983399,0.00007652834,0.0004664558,0.0003258035,0.00048923405,0.0003020766],"domain_scores_gemma":[0.9979579,0.00004517089,0.00031031942,0.0010965905,0.0004623038,0.00012770132],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030494857,0.00025632107,0.00022310572,0.00015676804,0.0003365736,0.00041936667,0.0020465315,0.00031818752,0.00031960633],"category_scores_gemma":[0.00032055785,0.00027917806,0.00012760822,0.00076654606,0.00012823693,0.0022759014,0.0008269603,0.00028589764,0.06520804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000595631,0.000040323037,0.00015060979,0.00007480791,0.000012957903,6.8897054e-7,0.00008739572,0.000021620132,1.7520918e-8,0.0000049907785,0.9897943,0.009806291],"study_design_scores_gemma":[0.000045923993,0.000018465962,0.00001624383,0.000003970149,0.00001626789,0.0000018360245,0.00008036728,0.0000048055254,0.000016792437,0.000016544824,0.99953663,0.00024212209],"about_ca_topic_score_codex":0.0006454854,"about_ca_topic_score_gemma":0.000018489507,"teacher_disagreement_score":0.06488844,"about_ca_system_score_codex":0.00048499767,"about_ca_system_score_gemma":0.00054961286,"threshold_uncertainty_score":0.999966},"labels":[],"label_agreement":null},{"id":"W7082971870","doi":"10.5281/zenodo.17185218","title":"CLARIN Workshop at RANLP 2025 - The First Workshop on Natural Language Processing and Language Models for Digital Humanities (LM4DH 2025)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canarie","funders":"","keywords":"Event (particle physics); Language technology; Human language; Natural language; Digital humanities; Natural language understanding","score_opus":0.05084504408730494,"score_gpt":0.29310414664654044,"score_spread":0.2422591025592355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082971870","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034073688,0.0052322536,0.122861415,0.0037549357,0.0007250417,0.0018753246,0.00026018295,0.0017363151,0.8632138],"genre_scores_gemma":[0.07970592,0.0002533507,0.0009302175,0.0008119968,0.00073978794,0.0000014286146,0.0011103839,0.0023879404,0.914059],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830943,0.00010329455,0.00024497733,0.0006146175,0.00034958377,0.000378077],"domain_scores_gemma":[0.99868846,0.00015351883,0.00017617777,0.0006881181,0.00022829545,0.00006544281],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003390976,0.0002522345,0.00019384557,0.00032040317,0.0018968573,0.0026645188,0.0018149193,0.00014972835,0.0014191341],"category_scores_gemma":[0.0005359647,0.00021497504,0.000065622655,0.00044679712,0.00022144474,0.0004236438,0.0015944618,0.00041869006,0.00088445883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034092365,0.00006227679,3.153265e-7,0.0001417316,0.000036009842,0.000004989792,0.009804788,0.00012354097,0.00001608251,0.0085773645,0.65160537,0.32959345],"study_design_scores_gemma":[0.00013702757,0.000041633913,0.0000060425155,0.00042131418,0.000017061824,0.000010335285,0.0031175686,0.019538274,0.0000745407,0.00048133213,0.975877,0.00027791018],"about_ca_topic_score_codex":0.000035995712,"about_ca_topic_score_gemma":0.000027547125,"teacher_disagreement_score":0.32931554,"about_ca_system_score_codex":0.00019079781,"about_ca_system_score_gemma":0.000016676555,"threshold_uncertainty_score":0.9998935},"labels":[],"label_agreement":null},{"id":"W7092370374","doi":"","title":"PERSCOL - Persévérance dans l’enseignement secondaire à distance en France. Etude de cas : Institut Agro Enseignement à Distance. Rapport intermédiaire (novembre 2024).","year":2024,"lang":"fr","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Field (mathematics); Measure (data warehouse); Quality (philosophy); Work (physics)","score_opus":0.023920250285222492,"score_gpt":0.26507256115235606,"score_spread":0.24115231086713357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092370374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024104496,0.01736016,0.7118517,0.018816698,0.0067561395,0.0019814936,0.00033495692,0.00051558006,0.21827874],"genre_scores_gemma":[0.69683474,0.0039726608,0.023645919,0.0005528873,0.0003426195,0.00078002975,0.00046314384,0.00020494989,0.27320307],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9868175,0.0040087947,0.00237316,0.0030421265,0.00206209,0.0016963203],"domain_scores_gemma":[0.9875187,0.0013598346,0.0015206294,0.0046415753,0.004171553,0.00078768557],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.008873223,0.0013888156,0.0012143537,0.00047431295,0.001450947,0.0019429234,0.0044438113,0.00084901834,0.0011260759],"category_scores_gemma":[0.0018543008,0.0015781556,0.00085101114,0.0018237135,0.0014610745,0.0011242098,0.0017630749,0.0021932174,0.0005605244],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000037096688,0.0022507785,0.0032205668,0.0023640837,0.0005880405,0.0005624661,0.36152148,0.00065254397,0.0043509095,0.27116916,0.041614585,0.31166828],"study_design_scores_gemma":[0.0005473477,0.0000124300705,0.0054273484,0.01619811,0.00044569635,0.00048573318,0.015586848,0.07340125,0.04462455,0.0065357247,0.8337262,0.0030087482],"about_ca_topic_score_codex":0.006012801,"about_ca_topic_score_gemma":0.019522702,"teacher_disagreement_score":0.79211164,"about_ca_system_score_codex":0.0043850713,"about_ca_system_score_gemma":0.008818847,"threshold_uncertainty_score":0.9998862},"labels":[],"label_agreement":null},{"id":"W7093300734","doi":"10.13140/rg.2.2.21096.53767","title":"Etude exploratoire sur les usages, l’adoption de l’intelligence artificielle générative par les professionnels de l’éducation en formation initiale dans des territoires francophones du Québec (Canada), de l’Alsace (France) et des Antilles françaises (Martinique et Guadeloupe)","year":2025,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Context (archaeology); Domain (mathematical analysis); Work (physics)","score_opus":0.046814664976900115,"score_gpt":0.2909967634637104,"score_spread":0.24418209848681027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093300734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39481834,0.0028275112,0.5594767,0.039045803,0.00045934532,0.00042803964,0.000025225761,0.00014595679,0.0027730644],"genre_scores_gemma":[0.93551713,0.0039972183,0.05600244,0.00052712875,0.000066920154,0.000275319,0.00008412856,0.00004792604,0.0034817765],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9844287,0.012216595,0.0011375786,0.00082728424,0.0005201476,0.00086968305],"domain_scores_gemma":[0.9892411,0.0053177043,0.00070310675,0.0011793968,0.0032807353,0.0002779456],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007537594,0.00051186874,0.00042889745,0.0002887166,0.0027974076,0.0007797404,0.001518536,0.00038982485,0.00013617898],"category_scores_gemma":[0.007392864,0.0005830367,0.00016959806,0.0012816644,0.0014129599,0.0021816106,0.0004485525,0.0007781479,0.000024601677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041836356,0.0016947691,0.041649815,0.00061582035,0.00007690713,0.000012478986,0.5284929,0.0079171285,0.03533687,0.081943415,0.0031322315,0.29908583],"study_design_scores_gemma":[0.00017687204,0.0000062050976,0.035657074,0.0055992897,0.000058522066,0.000042776686,0.045045074,0.20054,0.6783502,0.017474368,0.016375232,0.0006743453],"about_ca_topic_score_codex":0.6740428,"about_ca_topic_score_gemma":0.92697245,"teacher_disagreement_score":0.64301336,"about_ca_system_score_codex":0.0016858605,"about_ca_system_score_gemma":0.007812142,"threshold_uncertainty_score":0.9996621},"labels":[],"label_agreement":null},{"id":"W7093361958","doi":"10.5281/zenodo.17401507","title":"Ressources éducatives par des humains pour des humains : trouver, cocréer et valider [symposium]","year":2025,"lang":"fr","type":"article","venue":"Open MIND","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke; Université Laval","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Context (archaeology); Human immunodeficiency virus (HIV)","score_opus":0.2023074840365895,"score_gpt":0.4400907208848545,"score_spread":0.23778323684826502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093361958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7451722,0.0025180152,0.069299676,0.02432144,0.0036476136,0.0009228638,0.000032371787,0.000016435319,0.15406936],"genre_scores_gemma":[0.7629323,0.00042441455,0.092668526,0.00072459324,0.00028997564,0.000085187414,0.0000125843535,0.00003347491,0.14282894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99600214,0.0009812659,0.0007548421,0.0010778804,0.00033965686,0.00084423687],"domain_scores_gemma":[0.99690294,0.00090981816,0.00031517926,0.0010597921,0.00058318645,0.00022907063],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017282921,0.0004251335,0.00043211243,0.00024257557,0.0015290893,0.002527412,0.0027692306,0.00022291814,0.0028641447],"category_scores_gemma":[0.00068866997,0.00044898427,0.0001553333,0.0010684408,0.0017260613,0.0025151772,0.00093473756,0.00040286183,0.001732077],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058985504,0.0022526393,0.014949516,0.00011721844,0.00026451307,0.000031906344,0.44056156,0.0016067394,0.008436943,0.05392612,0.026028702,0.45176515],"study_design_scores_gemma":[0.00042940775,0.00032934177,0.020532077,0.0020661857,0.0002270328,0.000035110585,0.04705153,0.005701312,0.24986489,0.15587077,0.5166389,0.001253492],"about_ca_topic_score_codex":0.0025180147,"about_ca_topic_score_gemma":0.0054791793,"teacher_disagreement_score":0.49061015,"about_ca_system_score_codex":0.0005070245,"about_ca_system_score_gemma":0.0015513669,"threshold_uncertainty_score":0.9997962},"labels":[],"label_agreement":null},{"id":"W7097095827","doi":"","title":"DÉPARTEMENT D’INFORMATIQUE ET DE GÉNIE LOGICIEL","year":2008,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software; Computer software; Work (physics)","score_opus":0.06412574485176958,"score_gpt":0.3426663235539156,"score_spread":0.278540578702146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097095827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0635413,0.000006516893,0.83305377,0.0027940492,0.00021766883,0.00007865987,1.13411694e-7,0.00014315601,0.10016479],"genre_scores_gemma":[0.91589546,0.00002526802,0.078580335,0.0041768607,0.00003693573,0.000016789536,7.5259493e-7,0.0000022934983,0.0012653142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999343,0.000032771924,0.00017948437,0.000115040755,0.00014419251,0.0001855432],"domain_scores_gemma":[0.9994878,0.000058931273,0.00004351636,0.00029372188,0.000053270418,0.0000627392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028715248,0.000060946975,0.000052920255,0.000043305172,0.000103353996,0.00004864935,0.00044951215,0.000031974898,0.00013425612],"category_scores_gemma":[0.000047126538,0.000052297983,0.000025707177,0.0001494439,0.000031879612,0.0005970994,0.000085908636,0.000069373375,0.00064994843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017685593,0.00018143124,0.0037734455,0.000005686542,0.000007174685,0.000009863959,0.03131088,0.0020420738,0.0010031337,0.8832463,0.06293407,0.015484154],"study_design_scores_gemma":[0.0001547903,0.00032095,0.032129657,0.000025586774,0.000004816718,0.00034326123,0.0022707584,0.43807057,0.2955433,0.1041899,0.1261103,0.0008361119],"about_ca_topic_score_codex":0.00012030745,"about_ca_topic_score_gemma":0.000018704872,"teacher_disagreement_score":0.85235417,"about_ca_system_score_codex":0.00007074373,"about_ca_system_score_gemma":0.00021049847,"threshold_uncertainty_score":0.83539885},"labels":[],"label_agreement":null},{"id":"W7097801356","doi":"","title":"DÉPARTEMENT D’INFORMATIQUE ET DE GÉNIE LOGICIEL","year":2014,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software; Computer software; Work (physics)","score_opus":0.02302658969577085,"score_gpt":0.3312378618411303,"score_spread":0.3082112721453594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097801356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01283106,0.0000019522872,0.8342157,0.003826947,0.00024224113,0.000061331404,5.8161934e-8,0.00012371963,0.148697],"genre_scores_gemma":[0.90861344,0.0000035367705,0.084664546,0.0059715607,0.000050729577,0.000015022054,6.7226756e-7,0.0000022513668,0.0006782562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935627,0.000056149856,0.00016917246,0.00011544299,0.0001246039,0.00017834752],"domain_scores_gemma":[0.9994192,0.00009864002,0.00004642048,0.00032730814,0.000047410398,0.000060993374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006916875,0.00005861794,0.00005210143,0.000038485417,0.000057092122,0.00012079189,0.00048178033,0.000031501408,0.00010615854],"category_scores_gemma":[0.000097032294,0.00004921706,0.000022375847,0.00011127445,0.00001791631,0.00048111493,0.000090622314,0.00006274428,0.0006759302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.8441226e-7,0.00003557978,0.0004188816,0.0000027952212,0.0000016669536,1.5033388e-7,0.0035314017,0.0007772007,0.0003682842,0.95404446,0.009074123,0.031745058],"study_design_scores_gemma":[0.00004505064,0.0001240565,0.0036700235,0.000011121809,0.000002070393,0.000009948999,0.0004897093,0.65562534,0.07561681,0.16267748,0.101481445,0.00024695197],"about_ca_topic_score_codex":0.000086240536,"about_ca_topic_score_gemma":0.000029791216,"teacher_disagreement_score":0.89578235,"about_ca_system_score_codex":0.000051503717,"about_ca_system_score_gemma":0.00008433316,"threshold_uncertainty_score":0.868794},"labels":[],"label_agreement":null},{"id":"W7100469943","doi":"","title":"THE AGE OF THE ORDOVICIAN KIRKFIELD FORMATION IN ONTARIO","year":2015,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ordovician; Fauna; Bay; Series (stratigraphy); Sound (geography); Georgian","score_opus":0.08648265861559577,"score_gpt":0.2981172031203453,"score_spread":0.2116345445047495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100469943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.660831,0.000019202273,0.25052756,0.010270003,0.0017566163,0.00029643517,6.801177e-8,0.00003255957,0.07626661],"genre_scores_gemma":[0.99667037,6.5113636e-7,0.0016453338,0.00027875756,0.000012470959,0.000005616573,2.0771053e-7,0.0000010187981,0.0013855487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995006,0.0000375685,0.00016762926,0.00006108163,0.00014514096,0.000087982466],"domain_scores_gemma":[0.99946123,0.00006867138,0.000051125407,0.00034218337,0.000060822207,0.00001597214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031501954,0.00003178054,0.000033578497,0.000020587997,0.000058081005,0.000051000785,0.00062894524,0.000021010695,0.0000063195585],"category_scores_gemma":[0.00009789171,0.000016678996,0.000017377615,0.00019480535,0.000031096217,0.00030801084,0.000095638214,0.000081776205,0.000025537167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009831084,0.00015196041,0.07944943,0.000004014709,0.000004986858,0.0000018015884,0.101401806,0.0016407846,0.0009082302,0.71166116,0.006881542,0.097884424],"study_design_scores_gemma":[0.00018739124,0.00017315206,0.28164047,0.000058530684,0.0000056921504,0.000015316222,0.012359996,0.09148819,0.09128436,0.42089128,0.10154762,0.00034798696],"about_ca_topic_score_codex":0.054287575,"about_ca_topic_score_gemma":0.7975704,"teacher_disagreement_score":0.74328285,"about_ca_system_score_codex":0.00010722453,"about_ca_system_score_gemma":0.00014166007,"threshold_uncertainty_score":0.95201004},"labels":[],"label_agreement":null},{"id":"W7104549797","doi":"10.62670/2308-7668.2025.53.3.002","title":"Empowering Schools through AI:Transforming Education with Adaptive Learning Platforms","year":2025,"lang":"ru","type":"article","venue":"Pedagogičeskij dialog.","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Blended learning; Adaptive learning; Learning Management; Educational technology; Flipped classroom; Adaptive system; Active learning (machine learning); Artificial neural network; Digital learning","score_opus":0.04606869863356362,"score_gpt":0.3807814170117174,"score_spread":0.3347127183781538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104549797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11009941,0.0017815755,0.828793,0.0046852757,0.0058198324,0.0012943712,0.0000056485183,0.00042149765,0.04709937],"genre_scores_gemma":[0.9764885,0.00038479484,0.015358958,0.0013212638,0.0007411039,0.00020846674,0.000027608025,0.000055749486,0.0054135895],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99584967,0.00013008188,0.0009524487,0.001305851,0.000674784,0.0010871582],"domain_scores_gemma":[0.9973316,0.00037307743,0.000403998,0.0009470896,0.0007276691,0.00021655005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007002141,0.00064682285,0.00057402917,0.00046882132,0.0011324111,0.0009191361,0.0013520003,0.00036300995,0.0001242643],"category_scores_gemma":[0.00044951076,0.00061575975,0.00018962733,0.0018525281,0.00027670147,0.0036865878,0.00029217073,0.0015918222,0.0005769574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031570837,0.0009848232,0.01640141,0.00027209727,0.00028160575,0.000019155153,0.071403585,0.012593194,0.001231787,0.36695167,0.0020562252,0.5274887],"study_design_scores_gemma":[0.0019340613,0.004775743,0.011950836,0.010669811,0.0010081704,0.00017886132,0.1579832,0.12353326,0.118396826,0.4268306,0.13577352,0.0069651376],"about_ca_topic_score_codex":0.0018618047,"about_ca_topic_score_gemma":0.0005710481,"teacher_disagreement_score":0.86638904,"about_ca_system_score_codex":0.0007062729,"about_ca_system_score_gemma":0.0049415464,"threshold_uncertainty_score":0.9996294},"labels":[],"label_agreement":null},{"id":"W7104565132","doi":"10.62670/2308-7668.2025.53.3.007","title":"Technologies and Educational Resources of the Future: Generative AI and Learning Analytics in the Classroom and Beyond","year":2025,"lang":"ru","type":"article","venue":"Pedagogičeskij dialog.","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Analytics; Generative grammar; Learning analytics; Key (lock); Cultural analytics; Generative model; Big data","score_opus":0.02645296195772018,"score_gpt":0.32664691887878655,"score_spread":0.3001939569210664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104565132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8392734,0.01640751,0.0034490773,0.13809079,0.000892565,0.00046117083,0.000007485059,0.000030005567,0.001388038],"genre_scores_gemma":[0.99534607,0.0019018444,0.0012349676,0.00081599184,0.00020142358,0.000026980708,0.0000019451256,0.0000060762613,0.00046471096],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981221,0.00045555382,0.00043366838,0.00047596736,0.00025560992,0.00025711698],"domain_scores_gemma":[0.99806976,0.0010862303,0.00022759686,0.00043893972,0.00014998729,0.000027467166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091671955,0.00020349362,0.00023698539,0.00024553147,0.00054876454,0.00033489254,0.00069401204,0.00018632217,0.0000052984155],"category_scores_gemma":[0.00095167465,0.00013637089,0.00004053298,0.0009460196,0.001059847,0.00025325263,0.0005495003,0.00069088786,0.0000014465744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022459772,0.00022504778,0.28730547,0.00012275224,0.000059826667,0.0000014964452,0.08782001,0.00047477538,0.00052481616,0.26762873,0.0017657455,0.35404885],"study_design_scores_gemma":[0.00027640242,0.00025478873,0.4589144,0.00026924236,0.00015832594,0.00002914751,0.1430784,0.052463908,0.0034435252,0.3273588,0.013221752,0.0005312745],"about_ca_topic_score_codex":0.00020454393,"about_ca_topic_score_gemma":0.0011110749,"teacher_disagreement_score":0.3535176,"about_ca_system_score_codex":0.000046801015,"about_ca_system_score_gemma":0.00034408626,"threshold_uncertainty_score":0.5561043},"labels":[],"label_agreement":null},{"id":"W7105914925","doi":"10.71895/prsm/revue-rise.n6.99","title":"Intégration de l’intelligence artificielle : défis et compétences numériques pour les enseignants","year":2025,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Research methodology; Peer evaluation; Graduate students","score_opus":0.3770375464864497,"score_gpt":0.43504704364795094,"score_spread":0.05800949716150122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105914925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16854008,0.0040968154,0.783096,0.02748829,0.0036236353,0.00033378528,0.000005086804,0.00012923664,0.012687048],"genre_scores_gemma":[0.8608993,0.0018383587,0.12697075,0.0007333621,0.00035187136,0.00007145815,0.000007626429,0.000013153029,0.0091140885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957967,0.0011638844,0.00081402174,0.0009558127,0.0003873433,0.00088228576],"domain_scores_gemma":[0.99708414,0.0010015216,0.00040483393,0.00060280855,0.0007198744,0.00018683163],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004580308,0.0003317003,0.00028407306,0.0004977093,0.0017428985,0.0014901216,0.0016005047,0.00025931947,0.00017823042],"category_scores_gemma":[0.0018052831,0.00036725542,0.00013621764,0.002619068,0.0022148213,0.0021959064,0.00020151888,0.0003728491,0.0002570813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075128155,0.00053127285,0.0067411903,0.00023252415,0.00001684641,0.000004974564,0.103219874,0.026928471,0.0038466584,0.55907226,0.004193038,0.29520535],"study_design_scores_gemma":[0.000018187695,0.00013196,0.0032612071,0.00089177286,0.000022981316,0.00007273961,0.030146876,0.53900796,0.03599762,0.38702226,0.0031180314,0.0003084032],"about_ca_topic_score_codex":0.004510094,"about_ca_topic_score_gemma":0.0030607858,"teacher_disagreement_score":0.69235927,"about_ca_system_score_codex":0.0016641135,"about_ca_system_score_gemma":0.004143991,"threshold_uncertainty_score":0.9998779},"labels":[],"label_agreement":null},{"id":"W7106216420","doi":"10.5281/zenodo.17683798","title":"La compétence numérique en contexte éducatif. Regards croisés et perspectives internationales","year":2024,"lang":"fr","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Context (archaeology); Skin color; Identity (music)","score_opus":0.06766961781761566,"score_gpt":0.3276068622188506,"score_spread":0.25993724440123495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106216420","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022179927,0.0024771872,0.2426764,0.01685391,0.002342218,0.0011455213,0.00051412097,0.0016389693,0.73013365],"genre_scores_gemma":[0.61607957,0.0026339744,0.005616962,0.0006932591,0.0021098172,9.791435e-7,0.0027193734,0.00440078,0.36574528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99362093,0.0025928807,0.0007428793,0.0014665968,0.00097193726,0.0006048029],"domain_scores_gemma":[0.9947872,0.000644006,0.00038050793,0.0011314902,0.002731962,0.000324828],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032648323,0.0005076619,0.00039687802,0.0006405759,0.001986508,0.0051953224,0.004318015,0.00035822878,0.00916739],"category_scores_gemma":[0.0034966702,0.000578631,0.00021610293,0.00078924524,0.0013850513,0.0011987844,0.003565352,0.0017127125,0.03995459],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021767075,0.00029111851,0.0000011951062,0.00019616807,0.0001269007,0.00005091101,0.077646986,0.00019505803,0.00030190116,0.6737752,0.17682084,0.07057197],"study_design_scores_gemma":[0.00009358064,0.00022148484,0.00019282999,0.0007823164,0.000025759617,0.00059373106,0.0067600566,0.005002877,0.00024203799,0.025190607,0.9603611,0.0005335724],"about_ca_topic_score_codex":0.0001710224,"about_ca_topic_score_gemma":0.000016584265,"teacher_disagreement_score":0.7835403,"about_ca_system_score_codex":0.0019097076,"about_ca_system_score_gemma":0.00020422741,"threshold_uncertainty_score":0.9996665},"labels":[],"label_agreement":null},{"id":"W7106220092","doi":"10.5281/zenodo.17656230","title":"La compétence numérique en contexte éducatif. Regards croisés et perspectives internationales","year":2024,"lang":"fr","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Context (archaeology); Skin color; Identity (music)","score_opus":0.06766961781761566,"score_gpt":0.3276068622188506,"score_spread":0.25993724440123495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106220092","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022179927,0.0024771872,0.2426764,0.01685391,0.002342218,0.0011455213,0.00051412097,0.0016389693,0.73013365],"genre_scores_gemma":[0.61607957,0.0026339744,0.005616962,0.0006932591,0.0021098172,9.791435e-7,0.0027193734,0.00440078,0.36574528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99362093,0.0025928807,0.0007428793,0.0014665968,0.00097193726,0.0006048029],"domain_scores_gemma":[0.9947872,0.000644006,0.00038050793,0.0011314902,0.002731962,0.000324828],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032648323,0.0005076619,0.00039687802,0.0006405759,0.001986508,0.0051953224,0.004318015,0.00035822878,0.00916739],"category_scores_gemma":[0.0034966702,0.000578631,0.00021610293,0.00078924524,0.0013850513,0.0011987844,0.003565352,0.0017127125,0.03995459],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021767075,0.00029111851,0.0000011951062,0.00019616807,0.0001269007,0.00005091101,0.077646986,0.00019505803,0.00030190116,0.6737752,0.17682084,0.07057197],"study_design_scores_gemma":[0.00009358064,0.00022148484,0.00019282999,0.0007823164,0.000025759617,0.00059373106,0.0067600566,0.005002877,0.00024203799,0.025190607,0.9603611,0.0005335724],"about_ca_topic_score_codex":0.0001710224,"about_ca_topic_score_gemma":0.000016584265,"teacher_disagreement_score":0.7835403,"about_ca_system_score_codex":0.0019097076,"about_ca_system_score_gemma":0.00020422741,"threshold_uncertainty_score":0.9996665},"labels":[],"label_agreement":null},{"id":"W7106223207","doi":"10.5281/zenodo.17656231","title":"La compétence numérique en contexte éducatif. Regards croisés et perspectives internationales","year":2024,"lang":"fr","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Context (archaeology); Skin color; Identity (music)","score_opus":0.06766961781761566,"score_gpt":0.3276068622188506,"score_spread":0.25993724440123495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106223207","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022179927,0.0024771872,0.2426764,0.01685391,0.002342218,0.0011455213,0.00051412097,0.0016389693,0.73013365],"genre_scores_gemma":[0.61607957,0.0026339744,0.005616962,0.0006932591,0.0021098172,9.791435e-7,0.0027193734,0.00440078,0.36574528],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99362093,0.0025928807,0.0007428793,0.0014665968,0.00097193726,0.0006048029],"domain_scores_gemma":[0.9947872,0.000644006,0.00038050793,0.0011314902,0.002731962,0.000324828],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032648323,0.0005076619,0.00039687802,0.0006405759,0.001986508,0.0051953224,0.004318015,0.00035822878,0.00916739],"category_scores_gemma":[0.0034966702,0.000578631,0.00021610293,0.00078924524,0.0013850513,0.0011987844,0.003565352,0.0017127125,0.03995459],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021767075,0.00029111851,0.0000011951062,0.00019616807,0.0001269007,0.00005091101,0.077646986,0.00019505803,0.00030190116,0.6737752,0.17682084,0.07057197],"study_design_scores_gemma":[0.00009358064,0.00022148484,0.00019282999,0.0007823164,0.000025759617,0.00059373106,0.0067600566,0.005002877,0.00024203799,0.025190607,0.9603611,0.0005335724],"about_ca_topic_score_codex":0.0001710224,"about_ca_topic_score_gemma":0.000016584265,"teacher_disagreement_score":0.7835403,"about_ca_system_score_codex":0.0019097076,"about_ca_system_score_gemma":0.00020422741,"threshold_uncertainty_score":0.9996665},"labels":[],"label_agreement":null},{"id":"W7106327766","doi":"10.5281/zenodo.17662289","title":"Horizons numériques en éducation. Quelles perspectives à l'heure de l'IA générative ?","year":2024,"lang":"fr","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Context (archaeology); Clientelism; Perspective (graphical)","score_opus":0.06804952603945612,"score_gpt":0.3232887274128809,"score_spread":0.25523920137342476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106327766","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008458294,0.0020451401,0.12029725,0.022888688,0.0016296785,0.0010672706,0.0003384695,0.0016979263,0.84918976],"genre_scores_gemma":[0.59514856,0.005062106,0.009959051,0.00031410917,0.0041777585,8.94619e-7,0.0016812359,0.0061193947,0.37753692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995937,0.0007006063,0.00062574877,0.0013527694,0.00067724613,0.0007066527],"domain_scores_gemma":[0.99572957,0.00024526488,0.00030853407,0.0010646674,0.0022660336,0.0003859255],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014547491,0.0005128052,0.0003547475,0.0006108533,0.00301308,0.0038611807,0.002814874,0.0003683681,0.03079436],"category_scores_gemma":[0.0015827604,0.0005977781,0.00021039153,0.00056733686,0.00088665186,0.0010896127,0.0021480657,0.0012400688,0.046438087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014992777,0.00016113686,0.0000011932486,0.000096783544,0.000126514,0.000029167186,0.084545515,0.00008107228,0.0006092058,0.8103902,0.07041315,0.033531096],"study_design_scores_gemma":[0.00005203159,0.00037925478,0.00003930333,0.00035502744,0.000050251118,0.00025585582,0.018263116,0.0027917386,0.00092342636,0.09312021,0.88322765,0.0005421118],"about_ca_topic_score_codex":0.0001281,"about_ca_topic_score_gemma":0.000010578347,"teacher_disagreement_score":0.81281453,"about_ca_system_score_codex":0.002003145,"about_ca_system_score_gemma":0.0001283967,"threshold_uncertainty_score":0.9996474},"labels":[],"label_agreement":null},{"id":"W7106513102","doi":"10.5281/zenodo.17693435","title":"Quelles recherches sur la communication en ligne en éducation ? Premier regard sur la dimension Communication de la compétence numérique durant la pandémie de COVID-19","year":2024,"lang":"fr","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Portrait; Symbolic communication; Dimension (graph theory)","score_opus":0.11154754958204273,"score_gpt":0.34242607215430393,"score_spread":0.2308785225722612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106513102","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013911803,0.0038635132,0.18097143,0.035074152,0.0005182994,0.0024937664,0.0002508375,0.0025978333,0.7603184],"genre_scores_gemma":[0.9027343,0.0186506,0.016929755,0.0005288304,0.00029839802,0.0000036242498,0.0022316787,0.002223524,0.05639933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.984039,0.012707667,0.0009357425,0.0010175714,0.00070026587,0.0005997598],"domain_scores_gemma":[0.9878504,0.007276065,0.0005953363,0.0023059316,0.001468436,0.0005038286],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.014157875,0.0005395093,0.00043718127,0.00050328934,0.0024000676,0.0029522171,0.004034042,0.0009256643,0.0014794449],"category_scores_gemma":[0.010699629,0.00062485196,0.00018119544,0.00056990463,0.0014189859,0.0011083776,0.0031852305,0.0022127472,0.003078243],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114567265,0.0006023881,0.000028236442,0.0006030166,0.00015826777,0.000055604592,0.09919423,0.0018587009,0.0063237045,0.7751391,0.056885924,0.05903628],"study_design_scores_gemma":[0.00022265484,0.00012160123,0.00031517583,0.0011120267,0.00006747588,0.0009895213,0.0017979846,0.018562349,0.0015065768,0.055662114,0.9190379,0.00060461235],"about_ca_topic_score_codex":0.0015280158,"about_ca_topic_score_gemma":0.000059134603,"teacher_disagreement_score":0.88882244,"about_ca_system_score_codex":0.003916653,"about_ca_system_score_gemma":0.00049038464,"threshold_uncertainty_score":0.99990714},"labels":[],"label_agreement":null},{"id":"W7106741884","doi":"10.5281/zenodo.17706850","title":"Exploiter le potentiel du numérique pour apprendre : enjeux pour le développement professionnel des personnes enseignantes. Quoi, pourquoi et comment","year":2024,"lang":"fr","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Context (archaeology); German; Corporate governance","score_opus":0.1949479666096222,"score_gpt":0.3002840852667801,"score_spread":0.10533611865715789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106741884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045386134,0.0017434108,0.46976635,0.25978225,0.0022937288,0.00229263,0.00035000616,0.0018698174,0.25736317],"genre_scores_gemma":[0.7433445,0.0023634818,0.026265362,0.003059916,0.0019118703,0.0000028265922,0.0026137508,0.005907778,0.21453051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951388,0.0006768729,0.000925322,0.0014635582,0.00087893044,0.0009164662],"domain_scores_gemma":[0.9959956,0.00015832442,0.00043427406,0.001146664,0.0018280338,0.00043715182],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015566048,0.00068680965,0.00046697294,0.00060247176,0.00434027,0.0028539028,0.002875374,0.00032782907,0.009104523],"category_scores_gemma":[0.00060788385,0.0007366921,0.0002821983,0.0004409474,0.00063621823,0.0010364968,0.004348714,0.0011206064,0.025353437],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049179573,0.0008400833,0.00000538993,0.00047889605,0.00019517815,0.00012076866,0.053846695,0.00028560226,0.0030020159,0.6399799,0.22426671,0.076929554],"study_design_scores_gemma":[0.0003615311,0.00030781952,0.00008634764,0.001712578,0.000043727665,0.00047076703,0.024606224,0.013687102,0.0031487478,0.075034484,0.87960637,0.00093431043],"about_ca_topic_score_codex":0.000304938,"about_ca_topic_score_gemma":0.000010039529,"teacher_disagreement_score":0.7388059,"about_ca_system_score_codex":0.0006773825,"about_ca_system_score_gemma":0.00019073082,"threshold_uncertainty_score":0.99950844},"labels":[],"label_agreement":null},{"id":"W7107999839","doi":"","title":"ViLU: Apprentissage d'incertitude langage et visuel pour la prédiction d'erreur","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Grand Équipement National De Calcul Intensif; Agence Nationale de la Recherche","keywords":"Reading (process); Reflection (computer programming); Focus (optics); Context (archaeology)","score_opus":0.016438790594582284,"score_gpt":0.2773303489592637,"score_spread":0.26089155836468136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7107999839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033366125,0.00024226095,0.842434,0.021922318,0.00056952715,0.00027013183,0.0000053664953,0.00046187948,0.100728385],"genre_scores_gemma":[0.9175644,0.00014705166,0.06643709,0.00035218266,0.000022825725,0.00006984836,0.00004893158,0.000021540558,0.015336126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9941227,0.004034189,0.00045845818,0.0006717362,0.00037013806,0.0003428048],"domain_scores_gemma":[0.99525046,0.0017203242,0.00024600158,0.0016432669,0.0010141999,0.00012577004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004602146,0.00022404084,0.00020179019,0.00026004837,0.00043597756,0.0006440365,0.0016660132,0.00013331739,0.000073780044],"category_scores_gemma":[0.0015206777,0.00024254815,0.000119886376,0.0009182876,0.00015455253,0.00065595214,0.00061802473,0.00039216637,0.00020814408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066019916,0.0009067355,0.0029385902,0.00005103967,0.000044978944,0.000005421417,0.010993918,0.000121386,0.014969437,0.7445842,0.010261111,0.21511655],"study_design_scores_gemma":[0.00068950147,0.0000019874803,0.043314826,0.0017901674,0.000068148816,0.000037788177,0.0008639096,0.22240199,0.43614742,0.06445651,0.22917396,0.0010537787],"about_ca_topic_score_codex":0.0006006441,"about_ca_topic_score_gemma":0.0013972254,"teacher_disagreement_score":0.8841983,"about_ca_system_score_codex":0.0001369407,"about_ca_system_score_gemma":0.0003505301,"threshold_uncertainty_score":0.98908263},"labels":[],"label_agreement":null},{"id":"W7108201177","doi":"10.5281/zenodo.17782559","title":"Ressources éducatives par des humains pour des humains : trouver, cocréer et valider [symposium]","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Sherbrooke; Université Laval","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Human immunodeficiency virus (HIV); 2019-20 coronavirus outbreak","score_opus":0.12048505989991204,"score_gpt":0.3460281080647184,"score_spread":0.22554304816480636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108201177","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18820165,0.0027750048,0.36844078,0.03428559,0.0025098643,0.0012968906,0.00019925562,0.0016126053,0.40067837],"genre_scores_gemma":[0.94366866,0.0014634649,0.007792216,0.0010924267,0.00046825854,4.956093e-7,0.00028204272,0.0011330992,0.04409936],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99482286,0.0020656695,0.0006503278,0.0009866314,0.0005390148,0.0009355264],"domain_scores_gemma":[0.996115,0.00027256986,0.00026522152,0.0010543715,0.0019818696,0.0003109575],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020326045,0.00036634592,0.00030257256,0.00052686397,0.0071522794,0.0034682332,0.0027560878,0.00017338456,0.0074656284],"category_scores_gemma":[0.00246675,0.00041978178,0.00014188165,0.0018710516,0.0020478927,0.0015873119,0.0018122793,0.0005878565,0.007999146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067751425,0.0014936178,0.00017609207,0.0003810604,0.00020879053,0.000023235234,0.14264613,0.0012034549,0.011186762,0.29274225,0.33803537,0.21183547],"study_design_scores_gemma":[0.00024635217,0.0002730886,0.0034954834,0.00047021222,0.0000552026,0.000064914486,0.008088883,0.0028499016,0.010754113,0.03475465,0.9384914,0.00045582347],"about_ca_topic_score_codex":0.00034709537,"about_ca_topic_score_gemma":0.00002802685,"teacher_disagreement_score":0.755467,"about_ca_system_score_codex":0.00080783374,"about_ca_system_score_gemma":0.000085373016,"threshold_uncertainty_score":0.9998254},"labels":[],"label_agreement":null},{"id":"W7109984391","doi":"10.22363/2312-8631-2025-22-4-461-475","title":"Features of using information technologies in teaching French as a native and foreign language in schools in France, Canada, Morocco, and Russia","year":2025,"lang":"ru","type":"article","venue":"RUDN Journal of Informatization in Education","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"French; Foreign language; Key (lock); Information technology; Language education; Higher education; AP French Language; Teaching method","score_opus":0.004899123185637683,"score_gpt":0.28547632428740916,"score_spread":0.2805772011017715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109984391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985387,0.0019616133,0.009019789,0.001091078,0.0005918278,0.0004517302,0.0000035733876,0.0000069149933,0.0014864398],"genre_scores_gemma":[0.9936117,0.0003853184,0.005825249,0.00011509875,0.000018042932,0.000013161688,0.0000072482244,0.000004107548,0.000020077005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974419,0.00014032809,0.0017256321,0.00012694496,0.0003388244,0.00022636772],"domain_scores_gemma":[0.9980723,0.00020237672,0.0011827449,0.00017033376,0.00033259927,0.00003962899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012429173,0.000179862,0.00033959796,0.0030816642,0.00007285372,0.00018400952,0.00035239538,0.00018254836,0.000003082712],"category_scores_gemma":[0.002028883,0.00018725886,0.000020051388,0.0019204367,0.000074051706,0.0050390656,0.000094745665,0.0007547753,4.110353e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030426474,0.00019830375,0.5091154,0.0005399231,0.000012991964,0.0000024201095,0.116921216,0.0186666,0.0001542349,0.031537548,0.00027237396,0.32254854],"study_design_scores_gemma":[0.0006769446,0.000086469685,0.60767156,0.006102344,0.000012054502,0.000057155572,0.28231212,0.082682386,0.0033997258,0.016502293,0.00018541032,0.0003115107],"about_ca_topic_score_codex":0.10233841,"about_ca_topic_score_gemma":0.04296582,"teacher_disagreement_score":0.322237,"about_ca_system_score_codex":0.0009593709,"about_ca_system_score_gemma":0.003720129,"threshold_uncertainty_score":0.97449756},"labels":[],"label_agreement":null},{"id":"W7115579758","doi":"10.7202/1122020ar","title":"L’émergence de l’intelligence artificielle dans les établissements d’enseignement. Quelle perception des directions ?","year":2025,"lang":"fr","type":"article","venue":"Enjeux et société Approches transdisciplinaires","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Réseau Technoscience; Université de Montréal; Commission Scolaire des Hautes Rivières","funders":"","keywords":"Context (archaeology); Poison control; French; Perception","score_opus":0.06180434586158238,"score_gpt":0.376031110712438,"score_spread":0.3142267648508556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115579758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1904093,0.008309043,0.7554674,0.009510532,0.0037466364,0.00076370535,0.000025931347,0.00036335806,0.031404108],"genre_scores_gemma":[0.9182246,0.0051256544,0.04055597,0.00034748853,0.00029730267,0.000416997,0.000031579264,0.000062797924,0.034937616],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946803,0.0006457587,0.0012143183,0.0014428049,0.0006605197,0.0013562944],"domain_scores_gemma":[0.99711674,0.0005959557,0.00028174446,0.0010786278,0.00061208196,0.00031484265],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015492886,0.0007063567,0.0005040949,0.00038578504,0.0028312162,0.0007174533,0.0016972006,0.00050972763,0.0009161222],"category_scores_gemma":[0.00038488858,0.00081175903,0.0004632126,0.0028160647,0.0015731148,0.0015028153,0.0003996396,0.00081519055,0.00025923576],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043452845,0.0018018003,0.0014120738,0.00061919866,0.00016786906,0.000008115511,0.428419,0.016421381,0.018142683,0.10372096,0.0035445932,0.42569888],"study_design_scores_gemma":[0.00025629342,0.00037265185,0.06051138,0.002171829,0.00045828862,0.000040591105,0.2696074,0.21447037,0.101118244,0.3249135,0.024297874,0.0017815641],"about_ca_topic_score_codex":0.0036936474,"about_ca_topic_score_gemma":0.005804681,"teacher_disagreement_score":0.7278153,"about_ca_system_score_codex":0.0012066202,"about_ca_system_score_gemma":0.0013082948,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W7116214384","doi":"","title":"L’intelligence artificielle générative s’invite dans la formation du personnel enseignant au Québec : le cas d’un cours à distance visant la mobilisation pédagogique du numérique","year":2025,"lang":"fr","type":"article","venue":"R-libre (Université Téluq)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scholarship; Qualitative analysis; Context (archaeology)","score_opus":0.017199831387817156,"score_gpt":0.24089330674928203,"score_spread":0.22369347536146486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116214384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3849293,0.00053435215,0.5870514,0.020487927,0.0011249786,0.0005051535,0.00002491926,0.00015582892,0.0051861205],"genre_scores_gemma":[0.98671615,0.000581549,0.0015123446,0.00029140004,0.00021670974,0.00003935166,0.00004379491,0.00003935107,0.010559325],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995962,0.0010833159,0.0006857111,0.0010133515,0.00049208413,0.00076354295],"domain_scores_gemma":[0.9963308,0.0013310546,0.00053652143,0.0008886826,0.00064379297,0.00026912455],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012065576,0.00053910434,0.00045015424,0.00024299178,0.0018764416,0.00049886864,0.001308127,0.0004629847,0.0000839892],"category_scores_gemma":[0.00028636237,0.0006546383,0.0002803928,0.0016236586,0.0010679665,0.0040989807,0.0004213591,0.00061326136,0.00019370226],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008349693,0.00064285233,0.0010029612,0.0001292606,0.00007583737,0.0001506229,0.53275627,0.015989393,0.0020117227,0.20102483,0.00094692357,0.2451858],"study_design_scores_gemma":[0.00019830395,0.00017246757,0.008943051,0.00052338204,0.00007005624,0.00020655063,0.30261508,0.60529333,0.041543324,0.006959629,0.03274378,0.0007310467],"about_ca_topic_score_codex":0.04467266,"about_ca_topic_score_gemma":0.07344821,"teacher_disagreement_score":0.60178685,"about_ca_system_score_codex":0.0027667328,"about_ca_system_score_gemma":0.0040296307,"threshold_uncertainty_score":0.9995905},"labels":[],"label_agreement":null},{"id":"W7124663884","doi":"10.12958/3083-6514-2025-4-23-30","title":"The use of digital technologies in teaching French","year":2025,"lang":"","type":"article","venue":"Bulletin of Luhansk Taras Shevchenko National University Pedagogical Sciences","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quality (philosophy); Key (lock); Digital native; Digital learning; Digital transformation; Digital literacy; Emerging technologies","score_opus":0.16754196397406276,"score_gpt":0.34865755391987235,"score_spread":0.1811155899458096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124663884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5908157,0.0021186995,0.15125592,0.18352887,0.002848891,0.0016772574,0.00018267841,0.00026354656,0.06730838],"genre_scores_gemma":[0.98674595,0.0002349054,0.008564947,0.00005288717,0.000025879996,0.0000016363645,0.0000030256977,0.000002848316,0.0043678954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643964,0.000302618,0.00076222117,0.000730574,0.0012887848,0.00047619344],"domain_scores_gemma":[0.9942296,0.0041467333,0.000497639,0.00035493693,0.00071538414,0.00005569654],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019570168,0.00023910854,0.0003301422,0.0006905206,0.0010333766,0.00040192448,0.0031275358,0.00023276047,0.0000975558],"category_scores_gemma":[0.005028656,0.00019850832,0.00017484973,0.002175014,0.0038888268,0.00072198,0.001040835,0.0005073121,0.000022972405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005466647,0.00073531177,0.032757193,0.000035654823,0.00003926988,0.0000060334155,0.0020281873,0.0078004557,0.0001249786,0.87759143,0.006530818,0.07229601],"study_design_scores_gemma":[0.00043698668,0.0006432916,0.017507467,0.00065361784,0.000052376083,0.000007645972,0.03137036,0.071766675,0.0023656394,0.12388503,0.75052285,0.00078805076],"about_ca_topic_score_codex":0.0015219427,"about_ca_topic_score_gemma":0.00026154943,"teacher_disagreement_score":0.7537064,"about_ca_system_score_codex":0.00034661373,"about_ca_system_score_gemma":0.0012200596,"threshold_uncertainty_score":0.99882203},"labels":[],"label_agreement":null},{"id":"W7126352962","doi":"","title":"La place des intelligences artificielles génératives dans une approche pédagogique basée sur les vertus intellectuelles","year":2024,"lang":"fr","type":"article","venue":"Digital Access to Libraries","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History of philosophy; Contradiction; Nature","score_opus":0.1691453818468005,"score_gpt":0.3262568259814171,"score_spread":0.15711144413461658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126352962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1252263,0.026084447,0.7863624,0.018920422,0.0037040764,0.000701059,0.00011449631,0.0009083385,0.03797844],"genre_scores_gemma":[0.97117937,0.0010734556,0.0054504303,0.0002699622,0.00061516627,0.00015625375,0.000046613255,0.000102529506,0.021106249],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99545735,0.0003871136,0.0010443823,0.0014894194,0.000623437,0.0009983097],"domain_scores_gemma":[0.99371684,0.0045216093,0.00016554123,0.00076185056,0.00037485806,0.00045930457],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.00053180865,0.00076605973,0.00053772586,0.0005507777,0.0006744566,0.027421102,0.0031279249,0.00041625643,0.00029966002],"category_scores_gemma":[0.0023438812,0.0007287022,0.00027728413,0.003746118,0.0031224305,0.019771699,0.0016793852,0.000746815,0.001042922],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005870397,0.00039901622,0.0012681042,0.0004978329,0.00012024262,0.00008059806,0.14750823,0.0021176618,0.00021911899,0.25800818,0.018404806,0.5713175],"study_design_scores_gemma":[0.000039179682,0.00044429753,0.00061356794,0.002335132,0.000054729033,0.0001167535,0.055371895,0.09011079,0.1523885,0.20886655,0.4881255,0.001533097],"about_ca_topic_score_codex":0.00088897604,"about_ca_topic_score_gemma":0.0008334221,"teacher_disagreement_score":0.84595305,"about_ca_system_score_codex":0.00017410291,"about_ca_system_score_gemma":0.0012494796,"threshold_uncertainty_score":0.9997349},"labels":[],"label_agreement":null},{"id":"W7128658915","doi":"","title":"Introduction de l’algorithmique dans le cadre d’enseignements interdisciplinaires au cycle 2 du primaire en France","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Centre for Comparative Criminology","funders":"","keywords":"Order (exchange); Work (physics); Field (mathematics); Duration (music)","score_opus":0.008097640307730152,"score_gpt":0.24044845667204506,"score_spread":0.2323508163643149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128658915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32284847,0.000035985948,0.62024176,0.051890023,0.00048426498,0.0002057716,0.0000040281793,0.0004505056,0.0038391901],"genre_scores_gemma":[0.9559805,0.000070970695,0.037804745,0.0000888578,0.00020402021,0.0000921713,0.000061169354,0.000029293637,0.005668291],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9958059,0.0022221461,0.00042916698,0.0006958664,0.00035416035,0.000492727],"domain_scores_gemma":[0.9967084,0.00059950654,0.00023228352,0.0014715473,0.00082317943,0.00016506767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044668303,0.00020844367,0.00018292021,0.00018486613,0.0009548251,0.0003236611,0.0016259325,0.00012319564,0.00004643831],"category_scores_gemma":[0.0011526172,0.00023455059,0.00010205674,0.0011406093,0.0002167127,0.000694695,0.0008029836,0.0002659604,0.00025582404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009826245,0.0009950727,0.023831824,0.00008725837,0.00006661017,0.000017571943,0.20692472,0.0017910756,0.028185299,0.35424528,0.009658635,0.3741868],"study_design_scores_gemma":[0.0003001368,0.0000025537395,0.12483593,0.00038256703,0.00001701744,0.000051126783,0.0030357204,0.37544373,0.4481618,0.03114964,0.015961453,0.0006583072],"about_ca_topic_score_codex":0.0025393637,"about_ca_topic_score_gemma":0.0021305378,"teacher_disagreement_score":0.63313204,"about_ca_system_score_codex":0.00038442857,"about_ca_system_score_gemma":0.00044045266,"threshold_uncertainty_score":0.95646954},"labels":[],"label_agreement":null},{"id":"W7128695483","doi":"10.18162/fp.2025.a353","title":"L’intelligence artificielle : miroir de l’apprentissage humain ?","year":2025,"lang":"fr","type":"article","venue":"Formation et profession","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Face (sociological concept); Selection (genetic algorithm)","score_opus":0.057025667573089675,"score_gpt":0.37751765980401175,"score_spread":0.32049199223092206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128695483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035280775,0.0014382879,0.88996065,0.039274797,0.0085723335,0.000659446,0.000006901178,0.00019416316,0.024612669],"genre_scores_gemma":[0.89478326,0.0003602666,0.016291387,0.0014152657,0.00016043909,0.000112463604,0.000042889144,0.000017501303,0.08681654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967054,0.0008132019,0.00093117834,0.00046879405,0.00039754444,0.0006838949],"domain_scores_gemma":[0.9980151,0.00033421812,0.00036799104,0.0007740149,0.00036482117,0.00014387188],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022495948,0.00027651445,0.0002229345,0.00033354148,0.0007292221,0.00043983487,0.00090391835,0.00033449102,0.0005863679],"category_scores_gemma":[0.00036353507,0.00029498042,0.00012129858,0.0012085795,0.00018001294,0.0030870116,0.00041411337,0.0005928628,0.0013541448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001887302,0.00048724588,0.00022190638,0.00033641915,0.000012240301,0.0000041793355,0.03508173,0.0037126797,0.0030233236,0.5386671,0.039482776,0.37895152],"study_design_scores_gemma":[0.00006623899,0.00007022625,0.00053225097,0.0015844123,0.000025404102,0.000016878521,0.01246532,0.61744756,0.14252718,0.11204304,0.112881675,0.00033979522],"about_ca_topic_score_codex":0.00010810676,"about_ca_topic_score_gemma":0.00011010292,"teacher_disagreement_score":0.87366927,"about_ca_system_score_codex":0.00044999828,"about_ca_system_score_gemma":0.00070960994,"threshold_uncertainty_score":0.99995023},"labels":[],"label_agreement":null},{"id":"W7135115355","doi":"10.55016/82804","title":"Artificial Intelligence and Education in our Time","year":2025,"lang":"","type":"article","venue":"Journal of educational thought.","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"","score_opus":0.03729667241594993,"score_gpt":0.37674540525566663,"score_spread":0.3394487328397167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135115355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42054722,0.022714883,0.14370222,0.35018706,0.043960135,0.0013411639,0.000010591475,0.000024194263,0.0175125],"genre_scores_gemma":[0.9370031,0.0007721954,0.044841584,0.0010088793,0.0027011423,0.000017427004,0.0000039895936,0.000019308938,0.013632415],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99594414,0.00036826922,0.0021981508,0.00050773256,0.00056390703,0.0004177881],"domain_scores_gemma":[0.9959378,0.00084432366,0.0011163545,0.00047401758,0.0013916614,0.00023582375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019466693,0.00032323835,0.00048611377,0.0015907321,0.00022664295,0.0004995186,0.0011750153,0.00022169044,0.00021595747],"category_scores_gemma":[0.0021640847,0.0003404737,0.0001594967,0.0021466373,0.00015817254,0.0015773897,0.00019574763,0.00072034594,0.000231286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069744536,0.002181881,0.0036894204,0.000065675034,0.000045493744,0.0000019516367,0.0019779804,0.00068652333,0.000575206,0.47759452,0.0104380315,0.50267357],"study_design_scores_gemma":[0.00006187086,0.00026379724,0.020043205,0.0016378148,0.00009436163,0.00018622809,0.005197599,0.018184073,0.008703534,0.9367352,0.008366199,0.0005261048],"about_ca_topic_score_codex":0.00006220129,"about_ca_topic_score_gemma":0.000039183076,"teacher_disagreement_score":0.5164558,"about_ca_system_score_codex":0.00063042267,"about_ca_system_score_gemma":0.013316384,"threshold_uncertainty_score":0.99990475},"labels":[],"label_agreement":null},{"id":"W7147658239","doi":"10.18572/2686-8598-2025-10-3-53-56","title":"From routine to creativity: how artificial intelligence is transforming the work of educators","year":2025,"lang":"","type":"article","venue":"Professor’s Journal Series Technical science","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Process (computing); Objectivity (philosophy); Test (biology); Matching (statistics); Applications of artificial intelligence; Work (physics)","score_opus":0.05263166265361885,"score_gpt":0.3718309295752703,"score_spread":0.31919926692165146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147658239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20901676,0.00053366006,0.5717794,0.20987299,0.0069788466,0.0010787573,0.000012210157,0.000077345874,0.00065005204],"genre_scores_gemma":[0.9715003,0.00026548002,0.02535914,0.0012036237,0.00068784045,0.00007808982,5.4715304e-7,0.000021335578,0.00088367617],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9922677,0.00047923185,0.002021161,0.0014014594,0.002256474,0.0015739343],"domain_scores_gemma":[0.99372536,0.0011616637,0.0009962731,0.0017735501,0.0016841566,0.0006589856],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.007172713,0.00060387026,0.0007963719,0.0007657895,0.003287074,0.0022761857,0.008483367,0.00032398684,0.00023951345],"category_scores_gemma":[0.004446632,0.00045233883,0.00036183454,0.013448479,0.004670163,0.003627932,0.0016933923,0.0020143285,0.000060718867],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029732374,0.00077505095,0.0016190512,0.000043100918,0.00005636329,0.000007800065,0.037482236,0.00018178756,0.03383291,0.09261271,0.0014958228,0.83159584],"study_design_scores_gemma":[0.000039334634,0.0004963692,0.0022759945,0.0015325119,0.000114066854,0.000045729612,0.020388447,0.0013535935,0.6722432,0.2956301,0.005193061,0.0006875873],"about_ca_topic_score_codex":0.00028189764,"about_ca_topic_score_gemma":0.0002041418,"teacher_disagreement_score":0.83090824,"about_ca_system_score_codex":0.0008787936,"about_ca_system_score_gemma":0.004109471,"threshold_uncertainty_score":0.9997928},"labels":[],"label_agreement":null},{"id":"W7148285010","doi":"10.70675/1d9fad8fzc86bz443cza2a1z0857334cde9d","title":"L'algorithmique au lycée entre développement de savoirs spécifiques et usage dans différents domaines mathématiques","year":2018,"lang":"","type":"dissertation","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History of sociology; Context (archaeology); Sociological research","score_opus":0.033781405779281286,"score_gpt":0.3482541204547758,"score_spread":0.3144727146754945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7148285010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4201164,0.000061624596,0.5550966,0.0018614492,0.0056358194,0.001241085,0.000023960618,0.00035335796,0.015609675],"genre_scores_gemma":[0.6792592,0.0013888968,0.2994231,0.0009699746,0.0020615475,0.0005978959,0.00072843296,0.00018735445,0.015383659],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99062073,0.0011354573,0.0026960506,0.0022587327,0.0015353741,0.0017536669],"domain_scores_gemma":[0.9936117,0.0006085064,0.0017283838,0.0018087738,0.001532815,0.0007098504],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0027477432,0.0014639385,0.0011369265,0.0006952855,0.001089648,0.0015562176,0.0033218255,0.0010331686,0.0014724714],"category_scores_gemma":[0.00068277377,0.0014453518,0.0005001324,0.0010054569,0.00048464708,0.0018624155,0.00051871355,0.0008550974,0.00094397436],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016451174,0.0026012987,0.016955934,0.001006041,0.0004357138,0.000076415105,0.66690445,0.00016040684,0.012375158,0.06740274,0.0073472247,0.22457008],"study_design_scores_gemma":[0.00035689276,0.0008688802,0.054383002,0.0028816545,0.00025935695,0.0000746242,0.07159453,0.12683651,0.61162096,0.121455304,0.0059262733,0.00374204],"about_ca_topic_score_codex":0.0068290364,"about_ca_topic_score_gemma":0.021621687,"teacher_disagreement_score":0.5992458,"about_ca_system_score_codex":0.0021901664,"about_ca_system_score_gemma":0.005320303,"threshold_uncertainty_score":0.9998339},"labels":[],"label_agreement":null},{"id":"W7148517057","doi":"10.33514/1694-7851-2025-1/2-619-626","title":"DIGITAL EDUCATIONAL ENVIRONMENT AS ONE OF THE CONDITIONS FOR CREATING A SPACE OF POSSIBILITIES FOR A MODERN LESSON","year":2025,"lang":"","type":"article","venue":"Bulletin of the Kyrgyz State University I Arabaev","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Creativity; Digital transformation; Component (thermodynamics); Context (archaeology); Digital learning; Space (punctuation); Element (criminal law); Independence (probability theory); Transformation (genetics)","score_opus":0.018778988126655616,"score_gpt":0.25062900764571977,"score_spread":0.23185001951906414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7148517057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7461048,0.00015011293,0.19883454,0.043102458,0.0008566009,0.0025916554,0.0016311099,0.000013156503,0.0067155776],"genre_scores_gemma":[0.9408662,0.000032310894,0.0037729498,0.000051066385,0.00002820787,0.000009335416,0.00001139343,0.0000086077325,0.055219967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983889,0.00012420207,0.00050707144,0.0003889887,0.00033095723,0.00025988722],"domain_scores_gemma":[0.99642605,0.0014575364,0.0008357717,0.0007572399,0.00047660407,0.000046795423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032019708,0.00018274262,0.0002975721,0.00012422391,0.00055068807,0.000047495007,0.0013318419,0.00007545066,0.00012160299],"category_scores_gemma":[0.0006260807,0.00016465267,0.00038866705,0.00025758625,0.0009720625,0.00013872483,0.00055151957,0.000115947805,0.0000053023546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013138045,0.006397219,0.005222841,0.00195712,0.0010583702,3.4115408e-7,0.10126571,0.082196295,0.011076827,0.7414493,0.014371944,0.03369022],"study_design_scores_gemma":[0.0016559578,0.000876951,0.010542142,0.0029470164,0.0007202139,0.000003941607,0.040910818,0.091833994,0.24912772,0.5650653,0.035493255,0.00082269637],"about_ca_topic_score_codex":0.00089679204,"about_ca_topic_score_gemma":0.000041703748,"teacher_disagreement_score":0.2380509,"about_ca_system_score_codex":0.00028073072,"about_ca_system_score_gemma":0.00086442556,"threshold_uncertainty_score":0.67143404},"labels":[],"label_agreement":null}]}