{"id":"W7070209749","doi":"","title":"In Peril, In Prospect","year":2019,"lang":"en","type":"book","venue":"eScholarship (California Digital Library)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Yale University","keywords":"Energy (signal processing); Health care; Test (biology); Modern medicine; Disease; Wonder","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029756,0.0007640069,0.0005329291,0.0009275404,0.004442159,0.009770197,0.001236014,0.004551032,0.1880853],"category_scores_gemma":[0.006147807,0.0004202767,0.0007076609,0.0006772962,0.002435825,0.01007524,0.004967491,0.009622022,0.1278484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002440711,"about_ca_system_score_gemma":0.002743015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0048481,"about_ca_topic_score_gemma":0.01050149,"domain_scores_codex":[0.998866,0.0002183995,0.00004889383,0.0002255711,0.0004338391,0.0002073974],"domain_scores_gemma":[0.9987729,0.0002628255,0.00006757912,0.00009843503,0.0004070656,0.0003910674],"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":[0.00001428542,0.00001311291,0.00007888506,0.00003112839,0.000001463094,0.000051357,0.0001797575,0.00002089959,0.00005113473,0.01819214,0.9655317,0.0158341],"study_design_scores_gemma":[0.000001661208,0.000003811884,0.00006146187,0.00004579423,6.706996e-7,0.00004108399,0.0002115441,0.00001412319,0.00002297414,0.001918215,0.9976754,0.000003206819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001142881,0.02612538,0.002192812,0.2113113,0.1399,0.00009814854,0.0007695679,0.0009664647,0.6174934],"genre_scores_gemma":[0.004324198,0.003751465,0.0005079639,0.05247106,0.01220794,0.00005565857,0.0002323659,0.0003943898,0.926055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1880853,"threshold_uncertainty_score":0.629208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005955644401923103,"score_gpt":0.2122643608393877,"score_spread":0.2063087164374646,"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."}}