{"id":"W2012092890","doi":"10.1002/bmb.20270","title":"The power of interactive teaching","year":2009,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Active learning (machine learning); Process (computing); Teaching method; Mathematics education; Computer science; Cooperative learning; Experiential learning; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008241365,0.00004295438,0.00004819546,0.00001429625,0.0002689495,0.00001205973,0.00009437471,0.00006980319,0.000004139007],"category_scores_gemma":[0.001089549,0.00003341409,0.0000176617,0.00005233176,0.0002142817,0.0000208342,0.00001083335,0.0001158863,3.237887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002717127,"about_ca_system_score_gemma":0.0001671698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006592365,"about_ca_topic_score_gemma":8.955083e-7,"domain_scores_codex":[0.9994029,0.0002885272,0.00008428589,0.00009934175,0.00003641871,0.00008852135],"domain_scores_gemma":[0.9996375,0.000097047,0.00007932974,0.0000935107,0.00007172249,0.00002092868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008307202,0.00004112066,0.00043838,0.000001341198,0.000007656138,6.247958e-8,0.002756317,1.647042e-8,0.8004355,0.1449875,0.0002499214,0.05107384],"study_design_scores_gemma":[0.00009755866,0.00008465042,0.003707115,0.00002922955,0.00001185841,0.00000315355,0.01239662,8.869847e-7,0.8774931,0.0514856,0.05454898,0.0001411812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424363,0.0003811168,0.003000954,0.004199469,0.0001957799,0.00006404703,7.232539e-7,0.00001093725,0.04971068],"genre_scores_gemma":[0.9961321,0.00001243466,0.003119365,0.0003551486,0.00005392572,0.000003158435,0.000005023247,0.000001513583,0.0003173269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0935019,"threshold_uncertainty_score":0.206857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014144954836654,"score_gpt":0.4035906446847127,"score_spread":0.3934491951363461,"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."}}