{"id":"W2412217671","doi":"10.1371/journal.pcbi.1004916","title":"Continuing Education Workshops in Bioinformatics Positively Impact Research and Careers","year":2016,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Government of Ontario; Ontario Institute for Cancer Research","keywords":"Pace; Continuing education; Modalities; Medical education; Bioinformatics; Medicine; Biology; Social science; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02584817,0.0003437203,0.000522593,0.001372238,0.003348186,0.007189695,0.00193127,0.002116452,0.03566637],"category_scores_gemma":[0.115886,0.0004710026,0.0006269236,0.002039302,0.001392437,0.002972942,0.007280518,0.003447545,0.005523881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003851816,"about_ca_system_score_gemma":0.01769102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005573642,"about_ca_topic_score_gemma":0.01483328,"domain_scores_codex":[0.9731869,0.01536012,0.0007782616,0.001035037,0.005749201,0.003890492],"domain_scores_gemma":[0.7488583,0.09609415,0.0118827,0.007103607,0.02465383,0.1114075],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004416156,0.002275302,0.05992648,0.001768385,0.0001574572,0.0005188697,0.0162391,0.0003375276,0.001930676,0.005978351,0.5322177,0.3782085],"study_design_scores_gemma":[0.0003886936,0.001131099,0.1838834,0.001858,0.0001985919,0.0004610457,0.03713543,0.0006528884,0.001368614,0.008863355,0.7638935,0.0001654885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3677573,0.01012712,0.006438913,0.3086542,0.01187009,0.00169214,0.003467808,0.002277552,0.2877148],"genre_scores_gemma":[0.8557905,0.008884049,0.01295972,0.06331204,0.005454394,0.001765529,0.002215932,0.0004639534,0.04915395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741518,"threshold_uncertainty_score":0.1366998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03208195588828976,"score_gpt":0.3506055395398699,"score_spread":0.3185235836515801,"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."}}