{"id":"W4323659620","doi":"10.1021/acs.jchemed.2c00858","title":"Building Industry-Inspired Medical Biotechnology Investigative Laboratories to Enhance Experiential Capstone Courses","year":2023,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; Sanofi (Canada); University of Windsor","funders":"University of Windsor","keywords":"Capstone; Economic shortage; Experiential learning; Capstone course; Medical education; Coursework; Engineering ethics; Engineering; Biotechnology; Psychology; Medicine; Computer science; Pedagogy; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008338747,0.001548651,0.000422724,0.001110964,0.001358879,0.003455058,0.004571664,0.001359382,0.01151693],"category_scores_gemma":[0.01349672,0.0005956641,0.0006820984,0.0004148394,0.0009058547,0.001913202,0.007498137,0.002064251,0.004732828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001989702,"about_ca_system_score_gemma":0.006405362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004531555,"about_ca_topic_score_gemma":0.0009417426,"domain_scores_codex":[0.995458,0.001684784,0.000194509,0.0005919878,0.0008751862,0.001195576],"domain_scores_gemma":[0.9843642,0.002332847,0.001373611,0.001038054,0.00177,0.00912116],"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":[0.001398464,0.08749168,0.03952575,0.001659516,0.00007610606,0.001765752,0.01573573,0.01102619,0.1077095,0.01057581,0.0388053,0.6842303],"study_design_scores_gemma":[0.002481208,0.0545693,0.177266,0.00209898,0.0002564915,0.005058098,0.0192361,0.03714082,0.1848122,0.02888916,0.487497,0.00069464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348424,0.0003828123,0.1126219,0.003220894,0.0006875695,0.011787,0.0003786916,0.003016471,0.03306225],"genre_scores_gemma":[0.6018953,0.000431886,0.3698753,0.002187916,0.0002673226,0.006734731,0.0007707679,0.0001577954,0.017679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01151693,"threshold_uncertainty_score":0.04410005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007584642801201174,"score_gpt":0.2938171917422787,"score_spread":0.2862325489410775,"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."}}