{"id":"W7115569140","doi":"10.7202/1122019ar","title":"Introduction","year":2025,"lang":"fr","type":"article","venue":"Enjeux et société Approches transdisciplinaires","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Intelligence analysis; Context (archaeology); Applications of artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001739906,0.001124813,0.0006418714,0.00187488,0.002020052,0.00524036,0.001860455,0.003775144,0.3137095],"category_scores_gemma":[0.005952279,0.0003085828,0.0008271044,0.001766411,0.00135229,0.003950871,0.003527615,0.003194478,0.1711111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622658,"about_ca_system_score_gemma":0.003389481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0054458,"about_ca_topic_score_gemma":0.00426295,"domain_scores_codex":[0.9981,0.000267503,0.0001057947,0.0005317088,0.000775505,0.0002194801],"domain_scores_gemma":[0.9973741,0.0004648189,0.000153403,0.0002524301,0.00138145,0.0003738182],"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":[0.00005331416,0.00003578733,0.0005555826,0.0004265993,0.000007899611,0.0001172349,0.0005926683,0.0001193612,0.0003462025,0.04787159,0.8230149,0.1268588],"study_design_scores_gemma":[0.000002637526,0.000007875979,0.0003171954,0.0001625142,0.000001715679,0.00007234366,0.00009955491,0.00001482649,0.00005588094,0.002564775,0.996696,0.000004646872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002522751,0.02877483,0.01009224,0.06891593,0.04257229,0.0003515743,0.009813437,0.001605521,0.8353515],"genre_scores_gemma":[0.02196246,0.02029669,0.007283552,0.0286418,0.01692452,0.0004895446,0.008794389,0.0008973719,0.8947098],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3137095,"threshold_uncertainty_score":0.9789101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234340171345197,"score_gpt":0.4698363538067549,"score_spread":0.3464023366722352,"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."}}