{"id":"W4399824039","doi":"10.1515/9782760519893-003","title":"Agresser sans frapper","year":2009,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001769161,0.001763298,0.00118613,0.001850776,0.008895218,0.00772503,0.001301971,0.003357483,0.09242651],"category_scores_gemma":[0.002980724,0.0007603166,0.0007150965,0.001816377,0.006788366,0.004827343,0.002933959,0.007658743,0.04057701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01299774,"about_ca_system_score_gemma":0.0118518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4747078,"about_ca_topic_score_gemma":0.5998402,"domain_scores_codex":[0.9978478,0.0004243617,0.00005446416,0.0003994433,0.0007337483,0.0005402581],"domain_scores_gemma":[0.9987898,0.000189897,0.0000667851,0.0001897737,0.0005692501,0.0001944196],"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":[0.0001159609,0.00004555612,0.000684415,0.0001684096,0.00001451584,0.0003547092,0.006616992,0.0001475904,0.0007440727,0.2956261,0.5659271,0.1295546],"study_design_scores_gemma":[0.000004686597,0.000005042953,0.0002859016,0.00006274289,0.000002642562,0.00007402881,0.000344495,0.0000215522,0.00007197227,0.002028308,0.9970906,0.000008130113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002724853,0.0193767,0.001445413,0.01522842,0.006511504,0.00004597025,0.0002446777,0.0004129045,0.9540095],"genre_scores_gemma":[0.01283275,0.00415804,0.0005450796,0.003655433,0.0005726879,0.00002294291,0.00007764122,0.0002196951,0.9779156],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4747078,"threshold_uncertainty_score":0.9438893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06297912019817062,"score_gpt":0.2976105311592092,"score_spread":0.2346314109610386,"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."}}