{"id":"W4389021642","doi":"10.1096/fasebj.31.1_supplement.388.2","title":"Transforming A Large Anatomy Class Into A Student Centered Learning Experience","year":2017,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Memorization; Teamwork; Active learning (machine learning); Psychology; Class (philosophy); Theme (computing); Value (mathematics); Recall; Pedagogy; Mathematics education; Medical education; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003256254,0.00009913337,0.0001307323,0.00004711134,0.0008981262,0.0001031645,0.0006363275,0.000074588,0.00009313507],"category_scores_gemma":[0.0000661911,0.00006741569,0.00007051885,0.00003630647,0.0001207647,0.0001829563,0.00006143785,0.0008295277,0.000019083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005577476,"about_ca_system_score_gemma":0.00001554497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005176815,"about_ca_topic_score_gemma":0.00001852145,"domain_scores_codex":[0.9992121,0.00002512157,0.000170434,0.00007602189,0.0001934924,0.0003228339],"domain_scores_gemma":[0.9995774,0.0000200758,0.00005701428,0.0002140078,0.0000183201,0.0001131827],"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":[0.0001154079,0.000261223,0.0502826,0.0001282095,0.0007059054,0.001782276,0.09520577,0.001130739,0.09165728,0.01928839,0.00141164,0.7380306],"study_design_scores_gemma":[0.005981046,0.0004297419,0.008749674,0.0005883704,0.0001241945,0.001858738,0.04934807,0.03862015,0.1534815,0.003890005,0.7359617,0.0009668553],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978592,0.0007117518,0.01692224,0.0005554765,0.0004041369,0.00006878636,6.253352e-7,0.0001207702,0.00262426],"genre_scores_gemma":[0.9988512,0.0007628616,0.0001068648,0.00005921887,0.0001093194,0.00000730008,3.035491e-7,0.00001337269,0.00008952391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7370637,"threshold_uncertainty_score":0.6907751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308904547025699,"score_gpt":0.2907566941579321,"score_spread":0.2776676486876752,"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."}}