{"id":"W7116593649","doi":"","title":"Notices n°27,28,35,40,45-46,49,51,54-68,89,94,96-98, 102-105, 109-114, 118, 120-121, 123-125, 128, 131, 133, 136-137, 142, 145-146, 148, 150, 156, 168, 171-172, 185, 190-193, 201, 223","year":2025,"lang":"fr","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":"Government (linguistics); Natural (archaeology); Subject (documents); Work (physics)","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":[0.001480141,0.001509084,0.0009074131,0.002733519,0.003324424,0.005400112,0.001168907,0.002058175,0.2381986],"category_scores_gemma":[0.003301399,0.0005008722,0.0007328081,0.004373622,0.002122776,0.002988687,0.00161512,0.00397684,0.1784369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006913155,"about_ca_system_score_gemma":0.005179774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0569411,"about_ca_topic_score_gemma":0.086002,"domain_scores_codex":[0.9989623,0.0001444378,0.0000503033,0.0001499099,0.0005249709,0.0001681611],"domain_scores_gemma":[0.99878,0.0002877804,0.00005724116,0.0001461352,0.0005674969,0.0001613526],"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":[0.00002080267,0.00001727153,0.00006723708,0.0001244642,0.000001120034,0.0000142164,0.0001818414,0.00004772791,0.0001621951,0.03783156,0.9260888,0.03544284],"study_design_scores_gemma":[0.000001929924,0.000006806933,0.000252277,0.00007190079,0.000001100123,0.00001274152,0.00004740492,0.00001629582,0.0000498466,0.002236815,0.9972998,0.000002976385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000368695,0.004747364,0.0008857582,0.002289633,0.01482429,0.00009707266,0.001518378,0.0002853192,0.9749835],"genre_scores_gemma":[0.001379763,0.001825998,0.0002352837,0.0004119984,0.001491971,0.00007220773,0.0006077617,0.0002204621,0.9937546],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7618014,"threshold_uncertainty_score":0.7968537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437332417620798,"score_gpt":0.2053431301332952,"score_spread":0.1809698059570873,"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."}}