{"id":"W4365130651","doi":"10.7202/1098123ar","title":"La révision de la Loi sur les archives","year":2023,"lang":"fr","type":"article","venue":"Archives","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports; Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001804943,0.0002300509,0.0001972189,0.0001608845,0.0002341921,0.00126726,0.0005608504,0.00008192677,0.00002942695],"category_scores_gemma":[0.000262369,0.0001769261,0.0001756458,0.0003724275,0.0008047083,0.001098144,0.0006422658,0.0003020015,0.0002811113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009016184,"about_ca_system_score_gemma":0.0001488068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153278,"about_ca_topic_score_gemma":0.00005347873,"domain_scores_codex":[0.9981396,0.0004827998,0.0002112279,0.0003925933,0.0001884241,0.0005854179],"domain_scores_gemma":[0.9963197,0.002952049,0.00006604184,0.0003450553,0.0000127181,0.0003043954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001542314,0.0001171098,0.000642335,0.00007993829,0.00002931355,0.000537929,0.02375516,0.000245558,0.008241884,0.3419201,0.006586792,0.6178285],"study_design_scores_gemma":[0.0003510886,0.0001570017,0.1666675,0.0004957876,0.00001271353,0.0003255662,0.0003082282,0.03352525,0.002082598,0.2625217,0.5331897,0.0003629313],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3431593,0.005514797,0.01756048,0.009979508,0.0006747253,0.0001782953,0.00004312349,0.0004925971,0.6223971],"genre_scores_gemma":[0.9129845,0.002400033,0.003819266,0.000252741,0.0002444758,0.000005663687,0.00001593367,0.00002315162,0.08025423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6174656,"threshold_uncertainty_score":0.9997695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968295302100788,"score_gpt":0.3225154235678319,"score_spread":0.1256858933577531,"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."}}