{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002149826,0.0005902075,0.0006446477,0.0004703872,0.0001499483,0.0003371077,0.002202079,0.001449125,0.0004808904],"category_scores_gemma":[0.001186076,0.0005226297,0.0003512179,0.000403082,0.0006414209,0.00001036644,0.005796547,0.001733265,0.00218357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229351,"about_ca_system_score_gemma":0.002270978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001888959,"about_ca_topic_score_gemma":0.00007050781,"domain_scores_codex":[0.9941556,0.0002625457,0.0009041639,0.001166091,0.001950592,0.001561007],"domain_scores_gemma":[0.99577,0.0001020576,0.0002352517,0.002043796,0.001249557,0.0005992779],"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":[0.0005778856,0.000398663,0.005414928,0.001939101,0.0005589926,0.00002477202,0.000195063,0.0001355979,0.08868888,0.00006410318,0.8627672,0.03923477],"study_design_scores_gemma":[0.001113788,0.001131676,0.002176696,0.0002240111,0.00002783825,0.00001076579,0.0001798002,0.000807735,0.08943538,0.000776435,0.9032159,0.0009000099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127484,0.008608679,0.008691607,0.007006434,0.006869675,0.006706865,0.003683622,0.0002330937,0.04545162],"genre_scores_gemma":[0.671926,0.04208427,0.01542641,0.001939316,0.006468122,0.0005590901,0.01744529,0.0006240993,0.2435274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2408224,"threshold_uncertainty_score":0.9998472,"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."}}