{"id":"W4398166638","doi":"10.1152/physiol.2024.39.s1.2356","title":"Promoting Deep Learning In First-Year Physiology Through Structured In-class Activities: Building a Bridge for Success","year":2024,"lang":"en","type":"article","venue":"Physiology","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bridge (graph theory); Class (philosophy); Biology; Physiology; Psychology; Computer science; Anatomy; Artificial intelligence","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":[0.006321606,0.0008475177,0.0005929574,0.0009099953,0.001700862,0.00497919,0.00178107,0.001483004,0.004385557],"category_scores_gemma":[0.01278795,0.0003395595,0.0005281108,0.0003745686,0.001262402,0.002885278,0.007628073,0.002665795,0.001591637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068237,"about_ca_system_score_gemma":0.003434777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007426083,"about_ca_topic_score_gemma":0.001893814,"domain_scores_codex":[0.9968965,0.001013961,0.0000877288,0.0003149116,0.0009339087,0.0007529889],"domain_scores_gemma":[0.9873948,0.002874306,0.0009083978,0.0004935669,0.0008515799,0.007477427],"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":[0.0003405134,0.01457357,0.03565166,0.001609698,0.0001184684,0.0004628066,0.02412663,0.0004910054,0.007177354,0.003724027,0.01766117,0.894063],"study_design_scores_gemma":[0.0008462158,0.03392008,0.4838247,0.01131799,0.0006258663,0.002284759,0.117451,0.01082126,0.03333004,0.04287014,0.2621797,0.0005281775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434983,0.002821942,0.01487276,0.01617139,0.0006338924,0.001044291,0.0001390428,0.0005742187,0.02024421],"genre_scores_gemma":[0.9505864,0.002097145,0.03864957,0.001740242,0.0002052325,0.0008087071,0.0001607733,0.000124334,0.005627656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006321606,"threshold_uncertainty_score":0.03343225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04430708314016725,"score_gpt":0.3988668462979272,"score_spread":0.35455976315776,"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."}}