{"id":"W4409373128","doi":"10.18280/isi.300301","title":"https://iieta.org/Journals/ISI/Archive/Vol-30-No-3-2025","year":2025,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; History; Information retrieval; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001565109,0.0009628233,0.001025754,0.01355921,0.001283454,0.009310426,0.0011116,0.001656707,0.5409963],"category_scores_gemma":[0.006579052,0.0003954491,0.0007108797,0.01646402,0.001311755,0.002487849,0.002484814,0.001701814,0.5951054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002667605,"about_ca_system_score_gemma":0.003008463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006236018,"about_ca_topic_score_gemma":0.006335838,"domain_scores_codex":[0.9981456,0.0002388583,0.0001424069,0.0001533158,0.001131121,0.0001887459],"domain_scores_gemma":[0.9936385,0.001150244,0.0004175876,0.001399746,0.002767537,0.0006265307],"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":[0.0001107935,0.0002683932,0.004696602,0.0004972503,0.0000237252,0.0002615844,0.0001776862,0.0006511802,0.001109757,0.01225422,0.7632428,0.2167059],"study_design_scores_gemma":[0.00001839611,0.00003403427,0.004493145,0.0004634011,0.00001585088,0.0003181852,0.0003234163,0.001051395,0.00198004,0.005215884,0.9860643,0.00002194029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003188354,0.002029412,0.003509814,0.002976084,0.001484927,0.0001879772,0.02473532,0.005756196,0.9561319],"genre_scores_gemma":[0.03402596,0.008652506,0.01019551,0.001918812,0.001805733,0.0003126455,0.06762355,0.003076867,0.8723884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4590037,"threshold_uncertainty_score":0.654713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02110554102944014,"score_gpt":0.2937219157321173,"score_spread":0.2726163747026772,"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."}}