{"id":"W3123214553","doi":"10.1101/2021.01.25.428169","title":"Training Data: How can we best prepare instructors to teach data science in undergraduate biology and environmental science courses?","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Curriculum; Variety (cybernetics); Medical education; Mathematics education; Institution; Higher education; Computer science; Psychology; Pedagogy; Medicine; Sociology; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02642692,0.0005802352,0.0005928987,0.001194328,0.003730503,0.01076442,0.003683099,0.003012494,0.01291672],"category_scores_gemma":[0.08658519,0.0005569177,0.0004705913,0.001450029,0.001186492,0.007332778,0.006146033,0.005470657,0.005053042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722731,"about_ca_system_score_gemma":0.01777962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002729414,"about_ca_topic_score_gemma":0.005588767,"domain_scores_codex":[0.9885774,0.006314169,0.0004733543,0.001099544,0.001894963,0.001640559],"domain_scores_gemma":[0.9080416,0.0243369,0.006017256,0.003101254,0.01482823,0.04367477],"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":[0.0003534947,0.00364424,0.05049392,0.001961413,0.00005612881,0.0004338401,0.01684958,0.001041495,0.005903188,0.005935394,0.2207898,0.6925375],"study_design_scores_gemma":[0.0005168139,0.00202715,0.1135509,0.008717811,0.0001849147,0.0006488757,0.1367342,0.005492075,0.01733576,0.03856409,0.6758379,0.0003894964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.3421336,0.00611671,0.05219993,0.5596317,0.005663231,0.001016598,0.001081901,0.002609936,0.02954649],"genre_scores_gemma":[0.7188508,0.005769414,0.2115701,0.04388151,0.001218035,0.002017802,0.001462505,0.0005966427,0.01463321],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02642692,"threshold_uncertainty_score":0.1397606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068196677855912,"score_gpt":0.2953900164141237,"score_spread":0.2547080496355646,"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."}}