{"id":"W6992987719","doi":"","title":"Modélisation des réactions émotionnelles dans un système tutoriel intelligent","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Medical Practices and Rehabilitation","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Context (archaeology); Process (computing); Focus (optics); Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309648,0.000640126,0.0003814741,0.0004494062,0.000596143,0.001816727,0.0006739018,0.0007653277,0.00821433],"category_scores_gemma":[0.002520453,0.0002616045,0.0004565954,0.0002095667,0.0008183912,0.001132999,0.00116703,0.0007527174,0.001597285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009232131,"about_ca_system_score_gemma":0.0008360015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007168922,"about_ca_topic_score_gemma":0.006146519,"domain_scores_codex":[0.9993752,0.0001344749,0.00003279011,0.0001592764,0.0002281418,0.00007019434],"domain_scores_gemma":[0.9992496,0.000232618,0.00008868323,0.0001174057,0.0002268031,0.00008493754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073118,0.000321658,0.01451371,0.0002474348,0.00008509575,0.0008731656,0.002696619,0.1865819,0.1162896,0.1422209,0.006617674,0.528479],"study_design_scores_gemma":[0.00008069159,0.0004382185,0.006349162,0.00004809537,0.0000419763,0.0003645024,0.0004291655,0.8889911,0.05016703,0.01995752,0.03307876,0.00005370233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2385479,0.0004999204,0.722742,0.0004147412,0.0001950577,0.0000935219,0.0001403741,0.004072342,0.03329411],"genre_scores_gemma":[0.7834414,0.0003075794,0.1547678,0.00008493281,0.00006893901,0.0001015708,0.0002769169,0.0003329308,0.06061808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00821433,"threshold_uncertainty_score":0.02747965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780783035653074,"score_gpt":0.2373174296815094,"score_spread":0.2195095993249787,"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."}}