{"id":"W2038310925","doi":"10.1371/journal.pcbi.1003972","title":"A Quick Guide for Building a Successful Bioinformatics Community","year":2015,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Common Fund; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Government of Ontario; National Human Genome Research Institute; Klaus Tschira Stiftung; Bundesministerium für Bildung und Forschung; European Molecular Biology Laboratory; National Institutes of Health; Ontario Institute for Cancer Research","keywords":"Context (archaeology); Field (mathematics); Public relations; Knowledge management; Engineering ethics; Computer science; Political science; Biology; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004839662,0.001903704,0.0009233996,0.003435042,0.005180165,0.007345294,0.003754554,0.006309726,0.1303371],"category_scores_gemma":[0.01984347,0.00177648,0.001034177,0.004086422,0.002793226,0.0113774,0.00822352,0.007016605,0.1925628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710517,"about_ca_system_score_gemma":0.008541225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793802,"about_ca_topic_score_gemma":0.01848224,"domain_scores_codex":[0.9937719,0.002798767,0.0005037869,0.0004600979,0.001971375,0.0004940512],"domain_scores_gemma":[0.9872208,0.003151664,0.0005572873,0.0008227729,0.004367056,0.003880399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002381033,0.00007405011,0.0001847754,0.0003850283,0.000005503517,0.0002137233,0.001452329,0.0001751315,0.0007772143,0.00672477,0.9130176,0.07696596],"study_design_scores_gemma":[0.000007984947,0.00001991809,0.0001131224,0.0001751129,0.000001581557,0.0001639447,0.0005239374,0.0000544943,0.0001042382,0.00242926,0.996393,0.00001339795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.004131824,0.02832941,0.3098484,0.1373591,0.02260456,0.008237234,0.01328736,0.04533913,0.4308629],"genre_scores_gemma":[0.01008135,0.0164398,0.5763954,0.04312231,0.00177913,0.005992511,0.009793922,0.008063287,0.3283323],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9926547,"threshold_uncertainty_score":0.4360212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05772293337235274,"score_gpt":0.3446849327599997,"score_spread":0.2869619993876469,"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."}}