{"id":"W3209907849","doi":"10.1093/biosci/biab107","title":"Data Science in Undergraduate Life Science Education: A Need for Instructor Skills Training","year":2021,"lang":"en","type":"article","venue":"BioScience","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Curriculum; Coding (social sciences); Science education; Mathematics education; Medical education; Higher education; Computer science; Psychology; Pedagogy; Medicine; Sociology","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":[0.01411883,0.0002468529,0.0004726568,0.001226529,0.003143011,0.005547299,0.001570684,0.001651859,0.01029061],"category_scores_gemma":[0.0566149,0.0004001596,0.000303741,0.001113154,0.001157571,0.003832606,0.005167548,0.004034106,0.001404016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526463,"about_ca_system_score_gemma":0.02614902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889458,"about_ca_topic_score_gemma":0.007459984,"domain_scores_codex":[0.9938313,0.002207114,0.0003301514,0.0007063392,0.001985561,0.0009395088],"domain_scores_gemma":[0.9086193,0.0281309,0.006067932,0.002935716,0.0155054,0.03874069],"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":[0.0001229069,0.001960949,0.1304236,0.00205574,0.00002265261,0.001054704,0.04760575,0.0002631263,0.007185143,0.005929652,0.05928094,0.7440948],"study_design_scores_gemma":[0.0002652739,0.002552401,0.3327562,0.01106501,0.00008770962,0.003314193,0.1761706,0.003867115,0.005196495,0.02984164,0.434642,0.0002413261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6416409,0.00808581,0.01631289,0.301652,0.002255937,0.0006458006,0.0003299452,0.0008346213,0.02824217],"genre_scores_gemma":[0.922478,0.00430936,0.03950161,0.02403406,0.0004489324,0.000614838,0.0003235824,0.0001533355,0.008136274],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01411883,"threshold_uncertainty_score":0.07466841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05315910352846157,"score_gpt":0.3562254380915492,"score_spread":0.3030663345630876,"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."}}