{"id":"W6890317713","doi":"10.34894/w6vjqq","title":"Annoter Des Contenus Audiovisuels: Récit D’une Collaboration Entre Montréal Et Paris","year":2019,"lang":"fr","type":"dataset","venue":"DataverseNL","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Context (archaeology); Work (physics); Perspective (graphical); Subject (documents)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001432558,0.002130672,0.002253555,0.0008272625,0.0006523333,0.001332641,0.00188606,0.001860962,0.007867108],"category_scores_gemma":[0.001287488,0.002358222,0.000465648,0.002479702,0.00126913,0.003517178,0.001505532,0.001930802,0.4732722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037673,"about_ca_system_score_gemma":0.001310524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02373935,"about_ca_topic_score_gemma":0.03545763,"domain_scores_codex":[0.9897907,0.001657418,0.001831972,0.002691948,0.001964416,0.002063522],"domain_scores_gemma":[0.989987,0.0007805552,0.001874972,0.005226105,0.001369432,0.000761919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001267048,0.0009467488,0.0002886177,0.0009040864,0.001434075,0.001507914,0.002006953,0.0005143393,0.0008814375,0.0003108117,0.9890199,0.0009181239],"study_design_scores_gemma":[0.005061581,0.0004688359,0.000571996,0.001031198,0.001905853,0.000225562,0.006472001,0.001070692,0.0001833993,0.00007398261,0.9806438,0.002291089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001234254,0.003283213,0.0001269488,0.000892868,0.004347731,0.002649766,0.9862194,0.000235598,0.001010214],"genre_scores_gemma":[0.00129015,0.005769461,0.0009322321,0.001107351,0.001071147,0.0001182844,0.9843564,0.000486927,0.004868059],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4654051,"threshold_uncertainty_score":0.9997041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274480689514291,"score_gpt":0.2841823743787714,"score_spread":0.2567343054273423,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}