{"id":"W4317037097","doi":"10.3828/coma.2021.20","title":"Mon parcours vers le Conseil International des Archives","year":2022,"lang":"fr","type":"article","venue":"Comma","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008427631,0.0001232029,0.0001104739,0.0000573199,0.0005001531,0.000711297,0.0007700924,0.00001903972,0.0002414748],"category_scores_gemma":[0.00004189033,0.0001163661,0.00009618347,0.0001664524,0.0003944304,0.001108564,0.0009904716,0.0002036666,0.00005731519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007517353,"about_ca_system_score_gemma":0.00027762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266895,"about_ca_topic_score_gemma":0.00006091971,"domain_scores_codex":[0.998999,0.0001178967,0.0001504913,0.0002242656,0.0002321785,0.0002761878],"domain_scores_gemma":[0.9993538,0.0001356472,0.00006594195,0.0002488618,0.00003686568,0.0001589402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004520284,0.0004757783,0.0006165878,0.00001941539,0.00008360493,0.0003751339,0.01628992,0.001887635,0.0007318978,0.6264224,0.1347465,0.2183059],"study_design_scores_gemma":[0.000407639,0.0001653013,0.003445922,0.00002792743,0.000005417707,0.000283901,0.0007449621,0.01525972,0.0004151015,0.04243024,0.9366258,0.0001880506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1469581,0.009943101,0.01009349,0.06335984,0.007086463,0.0002072972,0.0001338005,0.000154205,0.7620637],"genre_scores_gemma":[0.8946345,0.0001182317,0.001277691,0.00128883,0.0001227899,0.000009740299,0.00002130743,0.000008021827,0.1025189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8018793,"threshold_uncertainty_score":0.6859053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2538223546175145,"score_gpt":0.3063602349516116,"score_spread":0.05253788033409712,"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."}}