{"id":"W4387562833","doi":"10.1002/jdd.13391","title":"Interactive learning content to supplement didactic lectures in dental education","year":2023,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sentence; Table of contents; Computer science; Mathematics education; Multimedia; Psychology; World Wide Web; Artificial intelligence","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":[0.0008343979,0.000879791,0.000280297,0.001374902,0.0003602545,0.001491535,0.001306587,0.0007315699,0.06340585],"category_scores_gemma":[0.003598534,0.0002168542,0.0006190579,0.0008155105,0.0002192043,0.001121812,0.002481449,0.0007063397,0.01688692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010797,"about_ca_system_score_gemma":0.0007626652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006045949,"about_ca_topic_score_gemma":0.001208012,"domain_scores_codex":[0.9992157,0.0001524268,0.00006039144,0.0001176431,0.0003295608,0.0001242214],"domain_scores_gemma":[0.9975183,0.001100925,0.0001410832,0.0003661857,0.0004108726,0.0004627247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007567329,0.002980373,0.002242377,0.00191144,0.00003268369,0.000733861,0.00119683,0.00301654,0.05912438,0.003550539,0.0615657,0.8628886],"study_design_scores_gemma":[0.0007934286,0.003399586,0.02157117,0.0006686891,0.0002397643,0.00178621,0.0005174135,0.01231602,0.09289265,0.005884195,0.8597456,0.000185317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2605301,0.00207525,0.475637,0.001206077,0.004027062,0.007671841,0.01262599,0.05966555,0.1765611],"genre_scores_gemma":[0.3093961,0.001256572,0.5491478,0.001713062,0.00102046,0.004486476,0.01615158,0.005406405,0.1114215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06340585,"threshold_uncertainty_score":0.2121137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209000173946256,"score_gpt":0.3912998356053057,"score_spread":0.3703998182106801,"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."}}