{"id":"W2007454750","doi":"10.3389/fgene.2015.00164","title":"Who qualifies to be a bioinformatician?","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Cardiologie et de Pneumologie de Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internet privacy; Political science; Biology; Computer science","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":[0.04805929,0.000713425,0.001411255,0.003530527,0.01285809,0.02043981,0.003180912,0.01411975,0.06425447],"category_scores_gemma":[0.1300435,0.0006452568,0.001168802,0.003056159,0.01404498,0.02122348,0.007519803,0.0142498,0.03298363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007111853,"about_ca_system_score_gemma":0.02180691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004189336,"about_ca_topic_score_gemma":0.007401841,"domain_scores_codex":[0.9796776,0.007767912,0.001245167,0.002728974,0.005065766,0.003514644],"domain_scores_gemma":[0.8622577,0.0308609,0.004902371,0.005780985,0.02951856,0.06667949],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001376888,0.0001129783,0.005291274,0.0002063531,0.0000384383,0.0008374826,0.001724933,0.000125491,0.0003430844,0.04516857,0.839988,0.1060257],"study_design_scores_gemma":[0.00007110813,0.00006994044,0.002308116,0.001271347,0.00003592364,0.002352548,0.005827845,0.0004715942,0.0003470333,0.08201876,0.905114,0.0001117933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001405538,0.005090998,0.003267027,0.9611592,0.01271436,0.00002001128,0.00009954577,0.0002587182,0.0159846],"genre_scores_gemma":[0.07950272,0.01766078,0.01528336,0.8080305,0.03175324,0.0001843959,0.0006567233,0.001500639,0.04542752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9519407,"threshold_uncertainty_score":0.2541648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244289822342494,"score_gpt":0.2998320335269173,"score_spread":0.2673891353034924,"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."}}