{"id":"W2945225085","doi":"10.12688/f1000research.19221.1","title":"2019 ISCB Innovator Award recognizes William Stafford Noble","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Innovator; Presentation (obstetrics); Library science; Computational biology; Computer science; Medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.007237268,0.0008472973,0.001245182,0.001169825,0.001841115,0.006898155,0.001844842,0.004918306,0.1219479],"category_scores_gemma":[0.01681104,0.0005819546,0.0008265943,0.00108695,0.001119814,0.003541437,0.005790636,0.007103145,0.1203744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003634044,"about_ca_system_score_gemma":0.01037127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007006316,"about_ca_topic_score_gemma":0.01310454,"domain_scores_codex":[0.9949279,0.0003573154,0.0001523361,0.0006172255,0.0032262,0.0007191481],"domain_scores_gemma":[0.9803068,0.0007524092,0.0003982286,0.001055518,0.006227545,0.01125945],"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":[0.00002942588,0.00001169609,0.00009398158,0.00001675614,0.000004489776,0.00004017077,0.00001768607,0.0000310112,0.0002283503,0.009523098,0.9750524,0.01495091],"study_design_scores_gemma":[0.0000116615,0.00001051435,0.0001656241,0.00002617689,0.000002978543,0.00005659544,0.00002173832,0.0001247259,0.0002147118,0.002671853,0.9966858,0.000007608065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002185566,0.01556739,0.01162042,0.5790058,0.2003905,0.0002023492,0.003660188,0.002424479,0.1849433],"genre_scores_gemma":[0.01264996,0.01090251,0.01152282,0.04689294,0.01754593,0.0001229598,0.00618915,0.002031527,0.8921421],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1219479,"threshold_uncertainty_score":0.4079565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407689193967352,"score_gpt":0.3342271657022407,"score_spread":0.3001502737625672,"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."}}