{"meta":{"query_hash":"35b460a478b1","filters":{"venue":"The Web Conference"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/35b460a478b1","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Web+Conference"},"results":[{"id":"W2914818188","doi":"10.5555/2872518.3251212","title":"Session details: BigScholar 2015","year":2015,"lang":"en","type":"article","venue":"The Web Conference","topic":"Data Mining Algorithms and Applications","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":"Session (web analytics); Presentation (obstetrics); Library science; Inclusion (mineral); Pleasure; World Wide Web; Big data; Computer science; State (computer science); Political science; Sociology; Psychology; Medicine; Social science","score_opus":0.07882610516053719,"score_gpt":0.3063348120394692,"score_spread":0.22750870687893204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914818188","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":[0.028138366,0.00043522168,0.9323171,0.017416026,0.00051650434,0.0002379209,0.00002419313,0.00042231515,0.020492358],"genre_scores_gemma":[0.95632297,0.000033560496,0.042005155,0.0004069174,0.00007771669,0.00003153438,0.0000066738958,0.000005498167,0.0011099711],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992006,0.00006249074,0.000115641094,0.00022703505,0.00022470074,0.00016955247],"domain_scores_gemma":[0.99874836,0.00005166219,0.000055258464,0.00087195303,0.00014897701,0.00012376302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225276,0.00008326512,0.00007891944,0.00002763483,0.00013322524,0.00031309202,0.0015443362,0.000030290857,0.000017714941],"category_scores_gemma":[0.00007331407,0.000052491305,0.000018912304,0.00025675687,0.00005510971,0.00045273983,0.00041096294,0.00014262157,0.00072657404],"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":[0.0000051629722,0.000115063594,0.0005168808,0.0000061971223,0.000018112132,0.000008713369,0.0021885857,0.000033939454,0.003967389,0.38489488,0.15211377,0.45613134],"study_design_scores_gemma":[0.00044712113,0.00007647831,0.0015261144,0.000042668966,0.000010648795,0.000035949866,0.00029590412,0.44262475,0.0019152771,0.02332913,0.52939093,0.00030500523],"about_ca_topic_score_codex":0.000057578298,"about_ca_topic_score_gemma":0.000012642228,"teacher_disagreement_score":0.9281846,"about_ca_system_score_codex":0.000015286902,"about_ca_system_score_gemma":0.000260624,"threshold_uncertainty_score":0.93388814},"labels":[],"label_agreement":null},{"id":"W2916398527","doi":"","title":"Linked Learning 2013 (LILE2013): 3rd International Workshop on Learning and Education with the Web of Data","year":2013,"lang":"en","type":"article","venue":"The Web Conference","topic":"Open Education and E-Learning","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":"Athabasca University","funders":"","keywords":"Computer science; World Wide Web; Data science; Multimedia","score_opus":0.04356881747264594,"score_gpt":0.29976623695668175,"score_spread":0.2561974194840358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916398527","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":[0.6889739,0.0003327386,0.02103779,0.15297544,0.0011986676,0.0009899816,0.0000024569972,0.00026061456,0.1342284],"genre_scores_gemma":[0.9879911,0.0003171016,0.0016400918,0.00030763596,0.000108698754,0.0000322849,0.00001759756,0.000009602945,0.009575919],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873036,0.00026570144,0.00017725867,0.00034496695,0.00029926977,0.0001824621],"domain_scores_gemma":[0.99841845,0.00042561715,0.00023803202,0.00058226235,0.0002723277,0.00006333284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005924663,0.00013271387,0.00012196861,0.00007707803,0.0003048943,0.00056014274,0.0018286152,0.00004315331,0.00042799328],"category_scores_gemma":[0.00019808022,0.00007726417,0.000016068425,0.00023667133,0.00014455008,0.0007867182,0.0005723922,0.00061700144,0.00023094892],"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":[0.00005334825,0.00027876487,0.019195238,0.000036307443,0.00013641505,8.8103263e-7,0.0147041045,0.0022696964,0.0043410836,0.14840204,0.03204567,0.77853644],"study_design_scores_gemma":[0.0005401301,0.00020386525,0.031512465,0.00036677808,0.000027247852,0.000026457214,0.020828035,0.5763947,0.00010432183,0.0006652958,0.36892048,0.0004102636],"about_ca_topic_score_codex":0.00019016318,"about_ca_topic_score_gemma":0.000046443314,"teacher_disagreement_score":0.7781262,"about_ca_system_score_codex":0.00001762292,"about_ca_system_score_gemma":0.00049445266,"threshold_uncertainty_score":0.54014695},"labels":[],"label_agreement":null},{"id":"W2920554262","doi":"10.5555/2872518.3251216","title":"Session details: OD4LS'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web Data Mining and Analysis","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","funders":"","keywords":"Computer science; World Wide Web; USable; Semantic search; Service (business); Session (web analytics); Geolocation; Semantic Web; Data science; Information retrieval","score_opus":0.03571743253908267,"score_gpt":0.2535780763176482,"score_spread":0.21786064377856557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920554262","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":[0.1086156,0.00009032538,0.861214,0.01665934,0.0002591146,0.00006895082,0.000008757762,0.00026607362,0.0128178615],"genre_scores_gemma":[0.994695,0.00007324899,0.0014624388,0.00027788768,0.000053750882,0.000006632685,9.898954e-7,0.000003916035,0.003426131],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902374,0.000110141926,0.00013837634,0.00028392742,0.00021844528,0.00022538875],"domain_scores_gemma":[0.99861646,0.00019732874,0.000071364644,0.0009741514,0.000071760674,0.00006893659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038411006,0.00010108277,0.000116791336,0.000046874713,0.00014282494,0.00010657708,0.0016136583,0.000033256223,0.00018177737],"category_scores_gemma":[0.00010030052,0.000044498665,0.00004951239,0.00023060417,0.00008726795,0.00037617222,0.00038959322,0.000070514325,0.00077199016],"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":[0.0000069076436,0.000045128232,0.003712017,0.0000067060573,0.00004446235,0.000008779957,0.00050181354,0.000001966107,0.0497374,0.18253161,0.010773067,0.7526301],"study_design_scores_gemma":[0.0041745775,0.0005340427,0.038252737,0.0017868843,0.00025036724,0.00017767018,0.000926238,0.17020133,0.12626901,0.13492602,0.51936334,0.0031377454],"about_ca_topic_score_codex":0.00003865271,"about_ca_topic_score_gemma":0.00004673621,"teacher_disagreement_score":0.88607943,"about_ca_system_score_codex":0.000019931284,"about_ca_system_score_gemma":0.00012949626,"threshold_uncertainty_score":0.99226296},"labels":[],"label_agreement":null},{"id":"W2975636453","doi":"","title":"Automatic annotation of content units in TANGRAM","year":2006,"lang":"en","type":"article","venue":"The Web Conference","topic":"Natural Language Processing Techniques","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":"Simon Fraser University","funders":"","keywords":"Computer science; Annotation; Content (measure theory); Artificial intelligence; Mathematics","score_opus":0.03985435792517278,"score_gpt":0.2592653735791736,"score_spread":0.21941101565400084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975636453","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":[0.79399496,0.0008955833,0.20039934,0.0018299908,0.00009272021,0.00030784908,0.0000030778149,0.00044793944,0.002028573],"genre_scores_gemma":[0.9585522,0.0000042567076,0.04125954,0.00006400901,0.000007291406,0.000010410967,0.0000014852486,0.0000025363765,0.00009826233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993678,0.00006592956,0.00018409026,0.000114776376,0.00015300978,0.00011439378],"domain_scores_gemma":[0.9993456,0.00007794504,0.00010869894,0.0002809992,0.00017585604,0.000010889975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002409375,0.00006598153,0.00009802968,0.00007086747,0.00002589812,0.00005460521,0.0006863677,0.000030066698,0.000007181264],"category_scores_gemma":[0.00007334182,0.000043795884,0.000012153343,0.0004852449,0.000057657144,0.00018666865,0.00009272859,0.00009469602,0.00000443924],"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":[0.000003450486,0.000048914306,0.001542411,0.000043020613,0.0000031581526,0.00000872347,0.0009400701,0.000013550478,0.051562365,0.8473202,0.00028047684,0.098233685],"study_design_scores_gemma":[0.000511743,0.00012488177,0.023304917,0.00040700252,0.000008100546,0.000019781197,0.00014651325,0.52861744,0.14276731,0.30357963,0.0002079371,0.00030474795],"about_ca_topic_score_codex":0.00040369265,"about_ca_topic_score_gemma":0.00019667404,"teacher_disagreement_score":0.5437406,"about_ca_system_score_codex":0.00001850776,"about_ca_system_score_gemma":0.000103820275,"threshold_uncertainty_score":0.17859443},"labels":[],"label_agreement":null},{"id":"W3136176769","doi":"10.5555/2872518.3251208","title":"Session details: Demonstrations","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web Data Mining and Analysis","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":"University of Ottawa","funders":"","keywords":"Session (web analytics); World Wide Web; Computer science; Cloud computing","score_opus":0.03646121102750051,"score_gpt":0.25639285367462494,"score_spread":0.21993164264712445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136176769","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":[0.049792938,0.000033235967,0.9261316,0.015043394,0.00010686465,0.00004199906,0.000007823328,0.00015324542,0.008688883],"genre_scores_gemma":[0.9937385,0.000044153956,0.0045457776,0.00014731352,0.000031581858,0.0000065012623,8.490398e-7,0.0000022345407,0.001483089],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993089,0.000079355676,0.000114464376,0.00019916288,0.0001461662,0.00015199401],"domain_scores_gemma":[0.99899435,0.00016023526,0.000051080206,0.00068345293,0.00006163408,0.000049234954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024036066,0.000070125265,0.00007462768,0.00003630691,0.00017304203,0.00014197778,0.0010369297,0.000024182396,0.00009804449],"category_scores_gemma":[0.000074386684,0.000031650983,0.000035636334,0.00020517965,0.00007741764,0.0003644493,0.00018573548,0.000052047162,0.00041461128],"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":[0.0000025278043,0.000038961483,0.0032446007,0.0000029202583,0.000033257762,0.000006382322,0.0003871238,0.000004715461,0.0845881,0.41564277,0.005841959,0.4902067],"study_design_scores_gemma":[0.00299263,0.00041679404,0.044486567,0.0011442327,0.00026775402,0.00020106044,0.000986476,0.5330315,0.108401634,0.13287716,0.17262049,0.0025736643],"about_ca_topic_score_codex":0.000015878177,"about_ca_topic_score_gemma":0.000049190134,"teacher_disagreement_score":0.9439456,"about_ca_system_score_codex":0.000008583958,"about_ca_system_score_gemma":0.0001443325,"threshold_uncertainty_score":0.53291273},"labels":[],"label_agreement":null},{"id":"W3136443642","doi":"10.1145/3245016","title":"Session details: Using the semantic web","year":2003,"lang":"en","type":"article","venue":"The Web Conference","topic":"Semantic Web and Ontologies","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":"Bell (Canada)","funders":"","keywords":"Computer science; Session (web analytics); Semantic Web; World Wide Web; Semantic Web Stack; Information retrieval","score_opus":0.06571252237588661,"score_gpt":0.28401410336775423,"score_spread":0.21830158099186764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136443642","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":[0.6728455,0.00068729627,0.3041932,0.0048812516,0.000979143,0.00029916433,8.6893334e-7,0.0002599064,0.015853673],"genre_scores_gemma":[0.9950795,0.00007539602,0.003943096,0.00052836386,0.000032534714,0.0000061808555,1.2946946e-7,0.0000057318057,0.00032906502],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986316,0.00031784977,0.00018152145,0.00027280956,0.00026318198,0.00033306767],"domain_scores_gemma":[0.99849695,0.00030182005,0.00009517294,0.0009769822,0.00008669381,0.000042390235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065870094,0.00014895614,0.00015209368,0.00003548791,0.0004076643,0.00029682656,0.0015302232,0.000051902105,0.00005735017],"category_scores_gemma":[0.00018041748,0.00007180234,0.000057214067,0.00030164374,0.00017941956,0.00022999482,0.00024376863,0.00019306282,0.000095775475],"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":[0.000007792121,0.00006859957,0.006593722,0.000028761055,0.000045604647,0.000035645295,0.002699693,0.00022946754,0.0425822,0.9311333,0.001379118,0.015196136],"study_design_scores_gemma":[0.0007281196,0.00008908792,0.0063753156,0.00020561123,0.000071413066,0.000358437,0.0021131244,0.88015664,0.021806693,0.063336305,0.024090033,0.00066920003],"about_ca_topic_score_codex":0.00005076131,"about_ca_topic_score_gemma":0.00009007515,"teacher_disagreement_score":0.8799272,"about_ca_system_score_codex":0.000017961645,"about_ca_system_score_gemma":0.00034086482,"threshold_uncertainty_score":0.31354654},"labels":[],"label_agreement":null},{"id":"W3136599398","doi":"10.5555/3041021.3252697","title":"Session details: Tutorial Track","year":2017,"lang":"en","type":"article","venue":"The Web Conference","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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 Waterloo","funders":"","keywords":"Session (web analytics); Computer science; Track (disk drive); World Wide Web; Operating system","score_opus":0.10512366346534484,"score_gpt":0.2488342156141097,"score_spread":0.14371055214876488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136599398","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":[0.15802316,0.00022323671,0.00011291029,0.0013825784,0.0068067326,0.00012082458,0.00013275632,0.000033668857,0.83316416],"genre_scores_gemma":[0.89185077,0.0001836708,0.00005090342,0.00007588514,0.0002770518,0.000008915196,0.0000012684153,0.00000550766,0.107546054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991883,0.000007979855,0.00025128122,0.0003037134,0.000026383119,0.00022236134],"domain_scores_gemma":[0.99883276,0.000031883013,0.0003130643,0.0007496019,0.000026660497,0.000046007226],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00058526767,0.000101746715,0.00022581554,0.000034844925,0.0007826116,0.0004668588,0.0007968682,0.000046844794,0.0049074413],"category_scores_gemma":[0.00018106695,0.00008108611,0.00007398698,0.00002375424,0.0002787041,0.0003015216,0.0002292988,0.000099631536,0.018929882],"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":[0.000028739472,0.00004338379,0.016813738,0.000010412815,0.00006759245,0.000003218109,0.0012957365,0.0000075613607,0.000094533905,0.8206524,0.1577966,0.0031860638],"study_design_scores_gemma":[0.0007365813,0.000023424816,0.02396647,0.000020091604,0.000009771829,0.0000018415357,0.00045896092,0.002842892,0.00012957997,0.038319953,0.93320495,0.00028546056],"about_ca_topic_score_codex":0.000185619,"about_ca_topic_score_gemma":0.000049937633,"teacher_disagreement_score":0.7823325,"about_ca_system_score_codex":0.000027574386,"about_ca_system_score_gemma":0.00002899543,"threshold_uncertainty_score":0.9960022},"labels":[],"label_agreement":null},{"id":"W3136716894","doi":"10.5555/2872427.3257894","title":"Session details: Session 11","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":"Bell (Canada)","funders":"","keywords":"Session (web analytics); Computer science; Multimedia; World Wide Web","score_opus":0.07464096412720451,"score_gpt":0.22649045378164573,"score_spread":0.15184948965444123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136716894","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":[0.4065706,0.00058277376,0.002758027,0.0057030823,0.0032645168,0.00022396576,0.00027746367,0.00010664511,0.58051294],"genre_scores_gemma":[0.8527238,0.00036699406,0.00006153413,0.00015999387,0.000063600215,0.000011207013,9.273994e-7,0.0000070857304,0.14660488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990578,0.00001534791,0.00029474238,0.0003447812,0.000029998204,0.00025732702],"domain_scores_gemma":[0.9992462,0.00008117798,0.0001853303,0.00040214125,0.00002981094,0.00005537869],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052949047,0.00011484387,0.00021878471,0.000065842105,0.00020977191,0.000077147124,0.00038758165,0.000047292844,0.013246792],"category_scores_gemma":[0.00009492726,0.00006583289,0.00006815447,0.00009123743,0.00018155438,0.00022892487,0.00019147067,0.000051921557,0.027073923],"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":[0.000023023718,0.000057625453,0.055721723,0.000013416184,0.0000501482,0.0000028456232,0.0009346696,0.0000034530194,0.0012253468,0.7390029,0.19017206,0.012792788],"study_design_scores_gemma":[0.00076587393,0.000025892417,0.01333829,0.00008721423,0.000007750806,0.0000030472172,0.00062839786,0.0008173645,0.0005781374,0.03460773,0.9488094,0.00033092752],"about_ca_topic_score_codex":0.000068142304,"about_ca_topic_score_gemma":0.00003668358,"teacher_disagreement_score":0.7586373,"about_ca_system_score_codex":0.00004603195,"about_ca_system_score_gemma":0.000028036502,"threshold_uncertainty_score":0.9876552},"labels":[],"label_agreement":null},{"id":"W3137083016","doi":"10.5555/2872518.3251222","title":"Session details: USEWOD'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Semantic Web and Ontologies","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; World Wide Web; Session (web analytics); Linked data; Publication; SPARQL; Semantic Web; Field (mathematics); Information retrieval; Resource (disambiguation); Data science; RDF","score_opus":0.046300433808372427,"score_gpt":0.26252167115386454,"score_spread":0.21622123734549212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137083016","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":[0.20808354,0.00019663876,0.74379075,0.023558857,0.00068876694,0.00014835648,0.0000017320992,0.00044047408,0.023090884],"genre_scores_gemma":[0.995721,0.0001078038,0.0017729213,0.0004162547,0.000045680183,0.000008779254,1.0911458e-7,0.0000036336696,0.0019238307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990808,0.0000938212,0.00013105465,0.00024798964,0.00018979594,0.0002565434],"domain_scores_gemma":[0.99873215,0.0003030579,0.00006121308,0.00078258995,0.00007258832,0.000048428497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027221243,0.00010546474,0.000115012204,0.0000312608,0.00012272822,0.00011864491,0.0014859413,0.0000449688,0.00012816853],"category_scores_gemma":[0.00012594541,0.000044442193,0.00003889802,0.000121770274,0.00012494615,0.0003160349,0.00036738033,0.00006676889,0.00055413594],"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":[0.0000094848765,0.00002985755,0.0053801946,0.000006986259,0.000014614318,0.000012093855,0.00048342638,6.1421986e-7,0.031236084,0.5676491,0.0055424147,0.38963512],"study_design_scores_gemma":[0.0031220994,0.0004690644,0.13332216,0.0009015831,0.000055165736,0.0002216893,0.0007301726,0.02208832,0.16006786,0.47356665,0.20369062,0.0017646177],"about_ca_topic_score_codex":0.000033657452,"about_ca_topic_score_gemma":0.00007759801,"teacher_disagreement_score":0.7876375,"about_ca_system_score_codex":0.000021147891,"about_ca_system_score_gemma":0.00013208335,"threshold_uncertainty_score":0.7122481},"labels":[],"label_agreement":null},{"id":"W3138804888","doi":"10.5555/2872518.3251224","title":"Session details: WI&C'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Service-Oriented Architecture and Web Services","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":"World Wide Web; Computer science; Session (web analytics); Presentation (obstetrics); Web service; Web intelligence; Web development","score_opus":0.017794051764224418,"score_gpt":0.23379499133336218,"score_spread":0.21600093956913777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138804888","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":[0.28462657,0.0002974972,0.63429266,0.041155294,0.000983739,0.00030720915,0.000008800237,0.0006235321,0.037704684],"genre_scores_gemma":[0.9956393,0.00006782548,0.0012812756,0.0021470196,0.00010169473,0.000014244421,7.401133e-7,0.0000073281244,0.000740541],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874115,0.00012703614,0.00016927376,0.0003537458,0.00028446424,0.00032433105],"domain_scores_gemma":[0.9984842,0.0002356896,0.000089161105,0.000984965,0.00011127479,0.00009474314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024540361,0.00015784407,0.00013051018,0.000054075415,0.00018705337,0.00013603488,0.0020798023,0.000051214,0.00016991969],"category_scores_gemma":[0.000012540615,0.000069843554,0.000051379022,0.00028699002,0.00007232848,0.00037374208,0.00052687427,0.00011319895,0.00055805745],"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":[0.000029460121,0.00006302102,0.0019935884,0.000027521502,0.000035182886,0.000012969854,0.0026913688,0.00000467343,0.0708997,0.4200791,0.001482399,0.502681],"study_design_scores_gemma":[0.0030673235,0.0004764971,0.018362107,0.0011751612,0.00006423387,0.0001687589,0.00077287236,0.019316284,0.1509511,0.26801276,0.53590465,0.0017282255],"about_ca_topic_score_codex":0.00007611163,"about_ca_topic_score_gemma":0.0003253049,"teacher_disagreement_score":0.7110128,"about_ca_system_score_codex":0.000020448917,"about_ca_system_score_gemma":0.00013746906,"threshold_uncertainty_score":0.7172886},"labels":[],"label_agreement":null},{"id":"W3138891035","doi":"10.5555/2872518.3251223","title":"Session details: WEBED'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Online Learning and Analytics","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":"Presentation (obstetrics); Panel discussion; Session (web analytics); Scope (computer science); Library science; Social media; Pleasure; Computer science; Sociology; World Wide Web; Psychology","score_opus":0.025990275487325683,"score_gpt":0.2687875214979303,"score_spread":0.2427972460106046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138891035","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":[0.13538699,0.00011817897,0.729822,0.11304628,0.0004869945,0.00010622187,0.000003571211,0.0004919803,0.020537788],"genre_scores_gemma":[0.9896931,0.00007376367,0.0017183099,0.00032013978,0.000083320185,0.0000024396043,2.6176102e-7,0.000004622086,0.008104054],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991632,0.000097609314,0.00011978601,0.0002152519,0.00019128372,0.00021285636],"domain_scores_gemma":[0.9990176,0.00016917584,0.00006546732,0.0006061122,0.0000809973,0.000060652495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028193544,0.00009262269,0.000095044124,0.000032438656,0.0001241083,0.000112685826,0.0010819004,0.00003592458,0.00010745153],"category_scores_gemma":[0.00009635951,0.000041451844,0.000040348805,0.00015415341,0.000075524986,0.00019540329,0.00025059778,0.00011134185,0.0006921417],"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":[0.0000061027495,0.000049772385,0.003760324,0.000008469612,0.000018621955,0.000009800406,0.00034191838,0.000012305157,0.025291776,0.4557112,0.004856819,0.50993294],"study_design_scores_gemma":[0.0021060307,0.00040193522,0.014660543,0.00093399925,0.000053279735,0.00009332215,0.0002596922,0.3232588,0.01676547,0.26758865,0.37257072,0.0013075438],"about_ca_topic_score_codex":0.000012271664,"about_ca_topic_score_gemma":0.000019425237,"teacher_disagreement_score":0.8543061,"about_ca_system_score_codex":0.000019276962,"about_ca_system_score_gemma":0.00015423457,"threshold_uncertainty_score":0.8896313},"labels":[],"label_agreement":null},{"id":"W3139071358","doi":"10.5555/3041021.3252705","title":"Session details: AMCH'17 Session 1: Technology","year":2017,"lang":"en","type":"article","venue":"The Web Conference","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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 Toronto","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.08207694747843085,"score_gpt":0.2507165536943053,"score_spread":0.16863960621587443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139071358","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":[0.25069016,0.00059212674,0.00038329186,0.005738538,0.0023346364,0.0001809852,0.000089132336,0.000087003435,0.7399041],"genre_scores_gemma":[0.8792126,0.00037095786,0.00011992718,0.000117133626,0.000062000065,0.000016561451,0.0000013754935,0.000007932038,0.12009148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989576,0.00000815591,0.00029996884,0.00040940213,0.000029449046,0.00029547024],"domain_scores_gemma":[0.9983944,0.000028027838,0.00043480823,0.001055151,0.000040679275,0.000046902085],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005252416,0.0001358137,0.00029470245,0.000117690324,0.0010448069,0.00031171096,0.0010817965,0.000097704156,0.004238826],"category_scores_gemma":[0.00019330984,0.00010608212,0.00006730303,0.00006764684,0.00048725467,0.0002899248,0.0005510807,0.00016208786,0.010828626],"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":[0.000024646337,0.00007067821,0.096118055,0.000018537108,0.000086890504,0.0000074998948,0.0007918121,0.000012213506,0.0003731275,0.7396163,0.15156756,0.011312681],"study_design_scores_gemma":[0.0008377008,0.00004402399,0.034516428,0.000082013925,0.000014823732,0.000006920441,0.0014822071,0.0041997745,0.00050466,0.09156543,0.8662792,0.0004668334],"about_ca_topic_score_codex":0.000105554886,"about_ca_topic_score_gemma":0.000043209177,"teacher_disagreement_score":0.7147116,"about_ca_system_score_codex":0.0000379565,"about_ca_system_score_gemma":0.000033673663,"threshold_uncertainty_score":0.99667144},"labels":[],"label_agreement":null},{"id":"W3139414403","doi":"10.5555/2872518.3251220","title":"Session details: TeachWeb'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web and Library Services","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":"Session (web analytics); Pleasure; World Wide Web; Politics; Literacy; Computer science; Library science; Public relations; Medical education; Sociology; Political science; Pedagogy; Psychology; Medicine","score_opus":0.022934862869475946,"score_gpt":0.22713302915291028,"score_spread":0.20419816628343435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139414403","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":[0.58492047,0.00038023267,0.22473487,0.0704435,0.0009991712,0.0003162044,0.000007908865,0.00091684883,0.11728081],"genre_scores_gemma":[0.99307823,0.000058370322,0.0010242991,0.0009601954,0.00008241138,0.000008440301,3.1987653e-7,0.0000052032506,0.0047825514],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990357,0.00012478812,0.00013271804,0.0002667067,0.00019685068,0.0002432103],"domain_scores_gemma":[0.99887526,0.00016480526,0.000065902874,0.0007763793,0.00004178104,0.00007586848],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022295894,0.00011420816,0.00010147172,0.00003454664,0.00013924722,0.00018374018,0.0019134141,0.00004093371,0.00038852013],"category_scores_gemma":[0.000017737524,0.00004971388,0.000037971462,0.00016005087,0.00006735793,0.00097273674,0.00043524973,0.00008214161,0.0007814426],"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":[0.00001325153,0.00005404853,0.004853944,0.000014164929,0.000017726303,0.000009010041,0.00085542956,0.0000012281117,0.03866826,0.6451682,0.008682015,0.30166277],"study_design_scores_gemma":[0.0018239856,0.00031065932,0.0457871,0.0006038266,0.000024634812,0.000072933355,0.0003550149,0.024645414,0.06341846,0.1538545,0.70790637,0.0011971383],"about_ca_topic_score_codex":0.000030575946,"about_ca_topic_score_gemma":0.000038939866,"teacher_disagreement_score":0.6992243,"about_ca_system_score_codex":0.000011763491,"about_ca_system_score_gemma":0.00014541924,"threshold_uncertainty_score":0.99999654},"labels":[],"label_agreement":null},{"id":"W3139529231","doi":"10.5555/2872518.3251210","title":"Session details: PhD Symposium","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Web Data Mining and Analysis","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":"University of Waterloo","funders":"","keywords":"Session (web analytics); Gratitude; Library science; Excellence; Variety (cybernetics); Pleasure; Computer science; Political science; World Wide Web; Operations research; Psychology; Engineering","score_opus":0.036544667886983496,"score_gpt":0.2468162468180241,"score_spread":0.21027157893104062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139529231","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":[0.10700127,0.000096510055,0.8310732,0.04069058,0.00042413667,0.000101522906,0.000015727384,0.00039721487,0.020199807],"genre_scores_gemma":[0.9946221,0.0001032422,0.0016644743,0.00026044378,0.0000569468,0.000006880768,8.696129e-7,0.000004074708,0.0032809651],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990312,0.0001066471,0.00013695599,0.00029097727,0.00021085859,0.00022335317],"domain_scores_gemma":[0.9986537,0.00016668433,0.000069969785,0.0009702938,0.000072943214,0.00006637991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034459896,0.00010267799,0.00011518623,0.000045527013,0.00014662092,0.00016994421,0.0016056303,0.000033072727,0.000108742],"category_scores_gemma":[0.00005138378,0.000046004283,0.000049452774,0.0002187963,0.000080788595,0.00039251574,0.0003914717,0.00006818877,0.0006597871],"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":[0.000010462083,0.000073064104,0.0035309542,0.000011589995,0.00006937041,0.00002003427,0.0010682893,0.000008073921,0.37526047,0.21688184,0.0129798865,0.39008594],"study_design_scores_gemma":[0.003564394,0.0005389406,0.015905645,0.0015843182,0.00026649816,0.00017277763,0.0006094793,0.32187366,0.18964268,0.053521,0.40948984,0.0028307792],"about_ca_topic_score_codex":0.000024968636,"about_ca_topic_score_gemma":0.000018226785,"teacher_disagreement_score":0.88762087,"about_ca_system_score_codex":0.000014088667,"about_ca_system_score_gemma":0.000122025645,"threshold_uncertainty_score":0.8480448},"labels":[],"label_agreement":null}]}