{"id":"W3010855083","doi":"10.7202/1067525ar","title":"Les archives dans les entreprises industrielles : le cas de Casavant Frères","year":2020,"lang":"fr","type":"article","venue":"Archives","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0000421314,0.0003779912,0.000510163,0.00005255126,0.005633364,0.0001922396,0.0003647225,0.00009487882,0.0008453713],"category_scores_gemma":[0.0001377461,0.0003041682,0.0004875499,0.00007629269,0.001939522,0.0001260308,0.0002651897,0.0005194377,0.00005934552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694257,"about_ca_system_score_gemma":0.00008118291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03760285,"about_ca_topic_score_gemma":0.01034442,"domain_scores_codex":[0.9980079,0.0002827645,0.000422525,0.0004857068,0.0001958476,0.0006052428],"domain_scores_gemma":[0.998651,0.0006404996,0.0001506969,0.0001757508,0.00002340678,0.0003585895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005144354,0.0001834772,0.007457457,0.0001005008,0.0004965368,0.0001071942,0.7614631,0.0001845381,0.0005874549,0.1164657,0.007360939,0.1055417],"study_design_scores_gemma":[0.0002819581,0.0001732837,0.003113102,0.00008972778,0.0002611724,0.000005332655,0.1232547,0.0007231761,0.0003389894,0.005624896,0.8656939,0.0004397647],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478512,0.03352194,0.001282812,0.3491669,0.0003058046,0.0002332764,0.0003128227,0.0001530794,0.06717221],"genre_scores_gemma":[0.8941607,0.02177508,0.000486132,0.0004188954,0.002098375,0.0000242894,0.00003478388,0.0000399342,0.08096174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.858333,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04710391034569793,"score_gpt":0.226952278234545,"score_spread":0.1798483678888471,"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."}}