{"meta":{"query_hash":"c0f952de9703","filters":{"venue":"CRJ"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/c0f952de9703","api":"https://metacan.xera.ac/api/v1/cohort?venue=CRJ"},"results":[{"id":"W4386800686","doi":"10.59380/crj.v1i1.2688","title":"Protection of documents against sophisticated photocopying and scanning","year":2023,"lang":"en","type":"article","venue":"CRJ","topic":"Digital Media Forensic Detection","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 Moncton","funders":"","keywords":"Computer science; Pantograph; Void (composites); Distribution (mathematics); Algorithm; Iterative method; Mathematics; Engineering drawing; Engineering; Materials science","score_opus":0.024372967334687835,"score_gpt":0.253309190458273,"score_spread":0.22893622312358516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386800686","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":[0.95303434,0.000010740015,0.040690415,0.0001991177,0.00062282314,0.00049711316,9.502489e-7,0.0004033433,0.0045411796],"genre_scores_gemma":[0.99869764,0.0000023888297,0.0010654333,0.000019851022,0.00001942264,0.000055062974,0.0000011729193,0.0000047821695,0.00013424762],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994754,0.000010841355,0.000107955064,0.00015809586,0.00013375544,0.00011395244],"domain_scores_gemma":[0.9997092,0.00001751785,0.00005329128,0.00014615794,0.00003632151,0.0000375137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120080025,0.000050523595,0.000067439,0.00012659727,0.0000464513,0.000060000784,0.00011231542,0.000023461718,9.867075e-7],"category_scores_gemma":[0.000098814955,0.0000499106,0.000013811338,0.0004918115,0.000039799124,0.00032009848,0.00010572416,0.000044320677,0.000034288038],"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":[0.000013028325,0.000024772124,0.0005129622,0.00010450425,0.000021519561,0.00002040422,0.0008478265,0.00012805754,0.107473776,0.0036365483,0.0005492132,0.8866674],"study_design_scores_gemma":[0.0015283591,0.00051645754,0.04033438,0.0005280138,0.000015923475,0.000039753006,0.00015492825,0.4716971,0.4476379,0.03124048,0.0057130223,0.00059371354],"about_ca_topic_score_codex":0.00000992299,"about_ca_topic_score_gemma":7.9003894e-7,"teacher_disagreement_score":0.88607365,"about_ca_system_score_codex":0.000019559147,"about_ca_system_score_gemma":0.0000140052325,"threshold_uncertainty_score":0.20352952},"labels":[],"label_agreement":null},{"id":"W4386852495","doi":"10.59380/crj.v1i1.2723","title":"A review of deep learning for self-driving cars: case study","year":2023,"lang":"en","type":"review","venue":"CRJ","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"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 Moncton","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Machine learning; Field (mathematics); Artificial neural network; Process (computing); Deep neural networks; Mathematics","score_opus":0.10787033377526462,"score_gpt":0.41272198269675925,"score_spread":0.30485164892149463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386852495","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.705687e-7,0.9108307,0.085681595,0.000013329329,0.000116175324,0.0029698596,0.000001935194,0.000354536,0.00003101633],"genre_scores_gemma":[0.0000032804408,0.9824275,0.015661938,0.000035924917,0.000108274726,0.0016255657,0.000008914554,0.00004929345,0.00007930484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99811053,0.00018788561,0.0006971647,0.00058869645,0.00015309834,0.00026261],"domain_scores_gemma":[0.9973645,0.0008966853,0.0006169347,0.0009256898,0.00012335609,0.0000728029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046594927,0.00026558823,0.0012113242,0.000108387205,0.0001633706,0.00003396037,0.0009468778,0.00006945493,0.0000020568996],"category_scores_gemma":[0.00021057022,0.00023071535,0.00034693468,0.0012266749,0.000016029915,0.0001171688,0.0004868144,0.0003024444,0.0000388195],"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":[3.363284e-8,0.000034801506,9.959542e-7,0.05084414,0.000051385527,0.00009369755,0.00010282036,0.000018046616,1.3284594e-8,0.00021356158,0.00022507932,0.9484154],"study_design_scores_gemma":[0.0000557167,0.000073738665,2.088855e-7,0.039087202,0.00039083144,0.00048152223,0.000023397104,0.0016808785,5.0519308e-8,0.00006492848,0.9579334,0.00020812236],"about_ca_topic_score_codex":0.000004441213,"about_ca_topic_score_gemma":0.000010435784,"teacher_disagreement_score":0.9577083,"about_ca_system_score_codex":0.00006877684,"about_ca_system_score_gemma":0.00008677338,"threshold_uncertainty_score":0.9408299},"labels":[],"label_agreement":null},{"id":"W4386855053","doi":"10.59380/crj.v1i2.2735","title":"“stress level” ranking of the psychological burden seen from the students’ self-evaluating optics affecting the academic achievements in the covid-19 conditions","year":2023,"lang":"en","type":"article","venue":"CRJ","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Anxiety; Bachelor; Psychology; Coronavirus disease 2019 (COVID-19); Sample (material); Stress (linguistics); Ranking (information retrieval); Population; Medical education; Applied psychology; Mathematics education; Medicine; Computer science; Psychiatry","score_opus":0.34635935360650255,"score_gpt":0.5555935710449533,"score_spread":0.20923421743845078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386855053","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":[0.9804617,0.00014008857,0.000050990617,0.01611981,0.0008599813,0.0013711761,0.00022314592,0.00008137938,0.0006917277],"genre_scores_gemma":[0.9884779,0.000052914893,0.000025032123,0.010609191,0.00036075694,0.00019632027,0.000046763314,0.000019509434,0.00021165512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959894,0.001983906,0.0004890135,0.00037642982,0.0006977606,0.00046351296],"domain_scores_gemma":[0.993568,0.005300129,0.00028540991,0.0007562598,0.000027021488,0.00006316571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042883614,0.00018318584,0.0002076228,0.000052773423,0.0009136468,0.00005088541,0.0017266445,0.0001668353,0.00020759934],"category_scores_gemma":[0.0006815344,0.00008455773,0.00012043587,0.00072185847,0.000223356,0.000044574754,0.00041469364,0.001051212,0.000078469886],"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":[0.00010103179,0.00033412574,0.8284729,0.00007244283,0.00019294702,0.000018902732,0.15489529,0.0007110655,0.0007508946,0.0023721121,0.0074405456,0.0046377573],"study_design_scores_gemma":[0.0016214185,0.00010499346,0.9530361,0.00009286587,0.00009861377,0.00001005315,0.04027033,0.00022511103,0.000027663697,0.0026479973,0.0017433778,0.00012145064],"about_ca_topic_score_codex":0.001632297,"about_ca_topic_score_gemma":0.00030840092,"teacher_disagreement_score":0.12456324,"about_ca_system_score_codex":0.00018831524,"about_ca_system_score_gemma":0.00012278765,"threshold_uncertainty_score":0.70271254},"labels":[],"label_agreement":null},{"id":"W4401165011","doi":"10.59380/crj.vi5.5105","title":"Empirical analysis of the twin deficits hypothesis in the republic of North Macedonia","year":2024,"lang":"en","type":"article","venue":"CRJ","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Economics; Current account; Exchange rate; Deficit spending; Money supply; Macroeconomics; Quarter (Canadian coin); Interest rate; Government (linguistics); Short run; Government expenditure; Government budget; Balance of trade; Cointegration; Monetary economics; Econometrics; Public finance; Geography","score_opus":0.07466079634992621,"score_gpt":0.25452441441374424,"score_spread":0.179863618063818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401165011","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":[0.97482604,0.0005214055,0.000019176032,0.0024908665,0.000104921026,0.0000777361,0.00016184973,0.0000072683038,0.021790756],"genre_scores_gemma":[0.9992858,0.000020661926,0.000022872895,0.00043289512,0.000035406516,0.000008675584,0.0000031248187,0.0000083844625,0.00018218414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990269,0.000028122065,0.0005437231,0.00021750816,0.000027554994,0.0001562268],"domain_scores_gemma":[0.9991887,0.000228886,0.0001435058,0.00041159557,0.000007785205,0.000019530877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004982615,0.00008107074,0.0003354054,0.00039301818,0.00002882867,0.000032769905,0.00038406486,0.000051727515,0.00009902299],"category_scores_gemma":[0.00018516807,0.000056005192,0.00029219774,0.0015168212,0.00008260499,0.00007553734,0.00005229746,0.00012519432,0.00005651778],"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":[0.0000051119873,0.00005314597,0.9405539,0.000041866246,0.00024040144,9.762063e-7,0.0013304009,0.00026580205,0.0000025201773,0.054036885,0.002440394,0.0010285908],"study_design_scores_gemma":[0.000058767437,0.000012190316,0.9724976,0.000006869559,0.000051505256,6.880593e-7,0.00003251812,0.0045256075,0.000028379565,0.017116327,0.005604677,0.00006491646],"about_ca_topic_score_codex":0.0002579361,"about_ca_topic_score_gemma":0.0004731635,"teacher_disagreement_score":0.036920555,"about_ca_system_score_codex":0.00003834585,"about_ca_system_score_gemma":0.000019064219,"threshold_uncertainty_score":0.22838256},"labels":[],"label_agreement":null}]}