{"id":"W2611804015","doi":"10.4000/genesis.1525","title":"Construire à plusieurs la machine à jouer","year":2015,"lang":"fr","type":"article","venue":"Genesis","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002693335,0.0001256656,0.0001616383,0.00004566187,0.0003496665,0.00004305896,0.0002076233,0.0002240239,0.0004858979],"category_scores_gemma":[0.0008223624,0.0001362679,0.00007744688,0.0003154025,0.001919289,0.0001533501,0.0000301314,0.0001228132,0.000390056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097745,"about_ca_system_score_gemma":0.0008664924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966279,"about_ca_topic_score_gemma":0.0002441057,"domain_scores_codex":[0.9979382,0.001065273,0.0001961282,0.0002238231,0.0002564853,0.0003200669],"domain_scores_gemma":[0.998419,0.0008863854,0.00009743308,0.0001378128,0.0002041742,0.000255211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007641072,0.0002528471,0.08037885,0.00004256072,0.0001523149,0.000006100858,0.2416637,0.00006080491,0.00003943789,0.4720735,0.1151334,0.09018876],"study_design_scores_gemma":[0.0003122881,0.00003061689,0.01026816,0.00003130325,0.00006913133,0.00001280378,0.1821066,0.00004254996,0.00001645425,0.007622457,0.7992612,0.0002264493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5592916,0.03512384,0.0003449871,0.1183153,0.01992301,0.0002314561,0.00007500063,0.0001161185,0.2665786],"genre_scores_gemma":[0.941884,0.001880309,0.006488573,0.001160424,0.006164995,0.00002491395,0.00003691786,0.00002398131,0.04233582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6841277,"threshold_uncertainty_score":0.7071701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2632175260606098,"score_gpt":0.4514617329554706,"score_spread":0.1882442068948608,"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."}}