{"id":"W4405486249","doi":"10.52358/mm.vi19.442","title":"Le numérique au service d’une meilleure adaptation aux apprenants","year":2024,"lang":"fr","type":"article","venue":"Médiations et médiatisations","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Humanities; Political science; Sociology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004185259,0.0007135621,0.0007603155,0.005305552,0.00387808,0.01007626,0.001282459,0.002770648,0.02712305],"category_scores_gemma":[0.01775507,0.0003809598,0.000727842,0.004873123,0.004971641,0.007925878,0.003582009,0.002438411,0.005238047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007245604,"about_ca_system_score_gemma":0.006418404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195678,"about_ca_topic_score_gemma":0.01477161,"domain_scores_codex":[0.9938177,0.002507453,0.000432041,0.000781122,0.002094212,0.0003673871],"domain_scores_gemma":[0.9885334,0.007206518,0.0008046991,0.0008175428,0.002138318,0.0004994528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003605977,0.0001842855,0.008370091,0.003572835,0.00006897589,0.0009310032,0.0722516,0.0002883541,0.001546319,0.392198,0.1210694,0.3991585],"study_design_scores_gemma":[0.000007866956,0.00003785199,0.006751885,0.001525241,0.00001775306,0.0005311292,0.01054584,0.00008830337,0.0003976815,0.008935858,0.9711354,0.00002540446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06858356,0.2153484,0.0167533,0.1047977,0.02371663,0.0002143501,0.001041191,0.0004656633,0.5690793],"genre_scores_gemma":[0.3685246,0.1840272,0.02195061,0.01581546,0.0116823,0.0008468179,0.0009790473,0.0009461268,0.3952278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02712305,"threshold_uncertainty_score":0.09073567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159042497392572,"score_gpt":0.4289125435237084,"score_spread":0.2130082937844512,"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."}}