{"id":"W7116593969","doi":"","title":"Notices n°32-33, 50, 71, 74-75, 83, 102, 108, 116-117, 134, 143, 151, 154-155, 157, 161-162, 166, 175, 177, 182, 184, 197-200, 202, 204, 208","year":2025,"lang":"fr","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Subject (documents); Natural (archaeology); Government (linguistics); Exposition (narrative)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002470642,0.001295132,0.0006919895,0.00287932,0.004349137,0.005951551,0.001450929,0.003867635,0.2519968],"category_scores_gemma":[0.005020235,0.0005886262,0.0006677601,0.003547093,0.002479491,0.003224496,0.001547326,0.004751295,0.1096892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.011131,"about_ca_system_score_gemma":0.009500249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1821453,"about_ca_topic_score_gemma":0.2114784,"domain_scores_codex":[0.9983768,0.0002666032,0.00007048407,0.0001867666,0.0008729523,0.0002263141],"domain_scores_gemma":[0.9980555,0.000641922,0.00008705458,0.0001867277,0.0008838254,0.000144937],"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":[0.0000161819,0.00002363676,0.00006362262,0.0001177323,9.245963e-7,0.00002847513,0.0006489485,0.00006204777,0.00018971,0.1028407,0.865252,0.03075589],"study_design_scores_gemma":[0.000002052661,0.000005410218,0.0001978835,0.00006475587,9.035657e-7,0.0000140273,0.00008625429,0.00001932911,0.00005343575,0.002841731,0.9967104,0.000003819895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003075471,0.001477666,0.0007898625,0.00180772,0.002343738,0.0001234965,0.0009680223,0.0002445734,0.9919373],"genre_scores_gemma":[0.001600971,0.0006797192,0.0003416788,0.0005545673,0.0003530897,0.0001120804,0.0004662944,0.0001784338,0.9957131],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7480032,"threshold_uncertainty_score":0.8430131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750880400190851,"score_gpt":0.2471469244595478,"score_spread":0.2296381204576393,"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."}}