{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006324423,0.0002153339,0.0002619643,0.0002525272,0.00004767558,0.00006637754,0.0005358105,0.0002485068,0.000007695201],"category_scores_gemma":[0.0005283368,0.0002019615,0.0000727591,0.0003200826,0.0001859453,0.000006196557,0.0003470854,0.0001436379,0.00005123476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005527633,"about_ca_system_score_gemma":0.0002693163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001860109,"about_ca_topic_score_gemma":0.00008370308,"domain_scores_codex":[0.9980238,0.00006426877,0.0005047333,0.0002675551,0.0005458862,0.0005937477],"domain_scores_gemma":[0.9986531,0.000009198567,0.00007112318,0.000522415,0.0001886431,0.0005555904],"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":[0.0002524457,0.0001275204,0.03040004,0.0001120114,0.00008435146,0.000009000709,0.003553046,0.0007694542,0.003648033,0.0000603575,0.9066771,0.05430661],"study_design_scores_gemma":[0.001568049,0.001323735,0.003516024,0.00004198429,0.00001642994,0.000009643059,0.006301479,0.005965717,0.03549666,0.0005783737,0.9445418,0.0006401396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8393605,0.003979554,0.1258897,0.004223448,0.003250165,0.001359456,0.0001475214,0.00005281694,0.02173678],"genre_scores_gemma":[0.5836355,0.004183144,0.3853631,0.01360924,0.00146333,0.0001623631,0.0004840742,0.0001403105,0.0109589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2594734,"threshold_uncertainty_score":0.8235751,"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."}}