{"id":"W2734836802","doi":"","title":"Interfaces Elève-Machine pour apprendre à partir des contextes","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001622178,0.001351396,0.0009420445,0.0009854147,0.0008113346,0.003888497,0.001874713,0.001949592,0.0266383],"category_scores_gemma":[0.005760306,0.0006903401,0.001026559,0.0006527512,0.000896369,0.004352235,0.004340387,0.001607344,0.008907531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006711873,"about_ca_system_score_gemma":0.001003775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003891768,"about_ca_topic_score_gemma":0.006424802,"domain_scores_codex":[0.9985732,0.0003349482,0.0001105958,0.0004026138,0.0004601547,0.0001184605],"domain_scores_gemma":[0.9979593,0.0009585136,0.0001005023,0.0004230639,0.0004240422,0.0001346943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001123299,0.0003734874,0.007709105,0.001985383,0.0002551511,0.001471367,0.007075939,0.02358398,0.09701505,0.05593754,0.04149113,0.7619786],"study_design_scores_gemma":[0.0001419484,0.0007175521,0.009294303,0.0007499446,0.000344782,0.001447539,0.002035859,0.2528887,0.05800096,0.05152669,0.6225766,0.0002750614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01783856,0.00117498,0.9266185,0.0007581422,0.000391485,0.0004235186,0.0006547617,0.02432323,0.02781668],"genre_scores_gemma":[0.2495023,0.001514005,0.6919724,0.001018194,0.0001864602,0.001073385,0.001728662,0.00263067,0.05037387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0266383,"threshold_uncertainty_score":0.08911401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617169927265591,"score_gpt":0.3181812906776902,"score_spread":0.2564642979511311,"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."}}