{"id":"W7117232786","doi":"10.29173/af29568","title":"Introduction pour le numéro spécial","year":2025,"lang":"fr","type":"article","venue":"ALTERNATIVE FRANCOPHONE","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Work (physics); Yield (engineering)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001499197,0.000185273,0.0002514765,0.0001303786,0.0007403619,0.00004669911,0.0003021064,0.0001938945,0.00254333],"category_scores_gemma":[0.00174089,0.0002236115,0.0001193179,0.0009772247,0.001533429,0.0003336886,0.00003826409,0.0003384756,0.0007448278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482014,"about_ca_system_score_gemma":0.001521307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006671644,"about_ca_topic_score_gemma":0.000379129,"domain_scores_codex":[0.9977881,0.0008086043,0.0003260608,0.0004483163,0.0002379601,0.0003909215],"domain_scores_gemma":[0.9981935,0.0008500217,0.0001786853,0.0001842099,0.000487214,0.0001063505],"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":[0.00001064354,0.0002817092,0.001078846,0.00002811824,0.0001398833,0.00000112414,0.02171287,0.00006791821,0.0002665473,0.3928314,0.5546573,0.02892365],"study_design_scores_gemma":[0.0005773496,0.00003089054,0.005862417,0.00006779024,0.00001932426,0.000001140632,0.07625259,0.0001055354,0.0006245988,0.0965405,0.8197271,0.0001907521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06425311,0.006739612,0.01144277,0.3969699,0.3261642,0.0003468817,0.00003094618,0.00007943449,0.1939731],"genre_scores_gemma":[0.4633484,0.002563845,0.003810311,0.00264974,0.311754,0.0000700451,0.00004463453,0.00002347348,0.2157356],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3990952,"threshold_uncertainty_score":0.999943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0844483306976015,"score_gpt":0.4127017048946206,"score_spread":0.3282533741970191,"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."}}