{"id":"W3013471035","doi":"10.1051/pmed/2020009","title":"Traduction, adaptation et évaluation psychométrique préliminaire d’une mesure d’engagement et d’une mesure de charge cognitive en contexte d’apprentissage numérique","year":2019,"lang":"fr","type":"article","venue":"Pédagogie médicale","topic":"Health Education and Validation","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre hospitalier universitaire de Québec; Université de Montréal; Université Laval; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Humanities; Psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01378514,0.0008330061,0.0007647208,0.001631038,0.0009061352,0.002549216,0.001005884,0.0008195622,0.006524155],"category_scores_gemma":[0.04101484,0.0004313905,0.001984237,0.001801059,0.001101693,0.001474733,0.001515877,0.001259766,0.001282721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752149,"about_ca_system_score_gemma":0.003363462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008991401,"about_ca_topic_score_gemma":0.01492383,"domain_scores_codex":[0.9923555,0.002935885,0.001133549,0.0008869253,0.002361287,0.0003269454],"domain_scores_gemma":[0.9658563,0.0141324,0.004130801,0.003010692,0.01212306,0.0007466694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001756147,0.001107357,0.6489694,0.003275154,0.001094578,0.0003581692,0.02389111,0.001595516,0.01046343,0.003490031,0.008524831,0.2954743],"study_design_scores_gemma":[0.0001776445,0.001093532,0.9670304,0.0006150298,0.0004305089,0.0002563926,0.007006811,0.002007835,0.00371327,0.001821073,0.01571917,0.0001282464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949099,0.001252903,0.02413047,0.000911303,0.0002599992,0.004713788,0.003933315,0.0002339378,0.01546521],"genre_scores_gemma":[0.9171982,0.0009214753,0.05149043,0.0004366016,0.00008696951,0.01830408,0.003150485,0.0001211111,0.008290613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378514,"threshold_uncertainty_score":0.07290363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253554878803799,"score_gpt":0.4276295370671567,"score_spread":0.3022740491867768,"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."}}