{"id":"W4414110858","doi":"10.1371/journal.pcbi.1013453","title":"Catalyzing computational biology research at an academic institute through an interest network","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Utah; Cancer Research Institute","keywords":"Computational genomics; Complement (music); Computational model; Computational thinking; Genomics; Systems biology; Diversity (politics); Coding (social sciences)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01369508,0.0004075797,0.000323683,0.001150268,0.004043533,0.006359616,0.002097226,0.001813265,0.01904079],"category_scores_gemma":[0.0282529,0.0003608593,0.0003691556,0.001968149,0.002788241,0.005337473,0.01401509,0.00310992,0.006210744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895118,"about_ca_system_score_gemma":0.01085326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312851,"about_ca_topic_score_gemma":0.001796986,"domain_scores_codex":[0.9903599,0.005854379,0.0001884971,0.0009231357,0.001437294,0.00123675],"domain_scores_gemma":[0.9580936,0.01318223,0.002756539,0.004936963,0.004215392,0.01681522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001068889,0.002287613,0.0530882,0.0006956088,0.0001393221,0.001517332,0.03614176,0.007406494,0.02219445,0.2884062,0.1703641,0.4166901],"study_design_scores_gemma":[0.0001840835,0.000486359,0.01055443,0.000226749,0.00005511214,0.0005603545,0.01663435,0.01446568,0.00824454,0.1018503,0.846653,0.00008496205],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3414497,0.00223844,0.2772305,0.1004806,0.002209629,0.001488098,0.0005494984,0.002583093,0.2717705],"genre_scores_gemma":[0.8433549,0.001192973,0.07878202,0.005888458,0.0009555349,0.0007093718,0.0005877346,0.0004046312,0.06812441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959565,"threshold_uncertainty_score":0.07242733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255212620379396,"score_gpt":0.4207235681154557,"score_spread":0.2952023060775162,"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."}}