{"id":"W4367395612","doi":"10.1093/biosci/biad015","title":"Challenges and opportunities to build quantitative self-confidence in biologists","year":2023,"lang":"en","type":"article","venue":"BioScience","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Great Lakes Bioenergy Research Center; National Institute for Mathematical and Biological Synthesis; Southeast Center for Mathematics and Biology; National Science Foundation","keywords":"Graduate students; Psychology; Quantitative analysis (chemistry); Self-confidence; Work (physics); Quantitative assessment; Medical education; Professional development; Engineering ethics; Pedagogy; Medicine; Social psychology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02045211,0.000206042,0.0003225014,0.0004503465,0.00172563,0.00436597,0.00141639,0.001429497,0.007704431],"category_scores_gemma":[0.04396222,0.000257591,0.0003418009,0.0002004501,0.002857671,0.002319929,0.006404589,0.004066457,0.00127692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262255,"about_ca_system_score_gemma":0.006343996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00055054,"about_ca_topic_score_gemma":0.001176523,"domain_scores_codex":[0.9929844,0.004258179,0.0001764176,0.0004136126,0.001377709,0.0007897437],"domain_scores_gemma":[0.9489297,0.02162128,0.004162832,0.003308259,0.005429504,0.01654845],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002139363,0.003207311,0.1497014,0.001688012,0.0001015781,0.000921359,0.06847514,0.0006106566,0.01790964,0.03311766,0.05108861,0.6729648],"study_design_scores_gemma":[0.0001156519,0.003592113,0.2882808,0.003461645,0.0001217252,0.002020811,0.1546982,0.002631981,0.0171161,0.0888721,0.4388429,0.0002459374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7169219,0.002582703,0.01998589,0.2206012,0.00120368,0.0001643493,0.0001031121,0.0004703134,0.03796676],"genre_scores_gemma":[0.9769531,0.0009261005,0.00909853,0.008593698,0.0001927408,0.0001334758,0.00004643078,0.00004809435,0.004007773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9795479,"threshold_uncertainty_score":0.1081624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394496691347521,"score_gpt":0.3627986841660175,"score_spread":0.2233490150312654,"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."}}