{"id":"W7115986569","doi":"","title":"Notices n°27, 28, 34, 36-38, 52, 43-44, 47-48, 69-70, 72-73, 76-82, 84, 85, 87-92, 95, 99-101, 119, 122, 127, 135, 138-139, 141, 147, 149, 152-153, 158, 169-170, 173, 178-179, 180, 187-189, 194, 196, 224","year":2025,"lang":"en","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Natural (archaeology); Subject (documents); 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":[],"consensus_categories":[],"category_scores_codex":[0.00108621,0.001266195,0.0007696098,0.002364843,0.003212292,0.004954141,0.001056468,0.001662305,0.2392063],"category_scores_gemma":[0.002472393,0.0004555614,0.0005660793,0.00419623,0.002114631,0.002775663,0.001516021,0.003784382,0.1582463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005440201,"about_ca_system_score_gemma":0.004359165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.036204,"about_ca_topic_score_gemma":0.08084743,"domain_scores_codex":[0.9991812,0.0001221301,0.00003851961,0.0001164326,0.0004283955,0.0001133451],"domain_scores_gemma":[0.9991031,0.0002133732,0.00004184847,0.00009959198,0.0004213842,0.0001207829],"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":[0.00001741393,0.00001723297,0.00006413739,0.0001305735,0.000001032306,0.00001455097,0.0002078315,0.00004877887,0.0001706433,0.0391329,0.9263431,0.03385176],"study_design_scores_gemma":[0.000001365905,0.000004506981,0.0001823912,0.00006525718,8.132664e-7,0.00001103711,0.00005635111,0.00001383504,0.00004444457,0.002040867,0.997577,0.00000215018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003070383,0.004643213,0.0008259043,0.002056766,0.01556262,0.0000822042,0.001072726,0.000199369,0.9752501],"genre_scores_gemma":[0.00110866,0.00175777,0.0002154774,0.0003780091,0.001274361,0.0000571544,0.0003913027,0.0001670912,0.9946502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2392063,"threshold_uncertainty_score":0.8002247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365599270770415,"score_gpt":0.2031909391198422,"score_spread":0.1795349464121381,"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."}}