{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002004358,0.000559636,0.0005154364,0.0003184598,0.00002928303,0.0005219984,0.0007447258,0.0008733293,0.0005367356],"category_scores_gemma":[0.000265897,0.0005604465,0.0002177781,0.0001816125,0.00009400459,0.0001353519,0.0006215696,0.001282405,0.002971009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000846335,"about_ca_system_score_gemma":0.0005726314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001379903,"about_ca_topic_score_gemma":0.00000658682,"domain_scores_codex":[0.9976836,0.00005892437,0.0007453897,0.0006384561,0.0003269744,0.0005465999],"domain_scores_gemma":[0.998768,0.00003863826,0.0002637958,0.0007617581,0.00002292046,0.0001448656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001115781,0.0007002965,0.5624102,0.002592883,0.0002488363,0.0003981372,0.0001449689,0.0004764236,0.0008343212,0.006898739,0.417591,0.006588342],"study_design_scores_gemma":[0.0007290011,0.0001885256,0.001297393,0.0002714122,0.000006439035,0.00002279851,0.000005296821,0.00008986979,0.000463424,0.002815845,0.9933999,0.0007100685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02425862,0.0007594172,0.00001755659,0.0002494273,0.0002587375,0.0008591395,0.001960824,0.00007332969,0.9715629],"genre_scores_gemma":[0.05668595,0.0001382812,0.0006449558,0.001436608,0.0005438512,0.00004679942,0.01075163,0.0002993191,0.9294526],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5758089,"threshold_uncertainty_score":0.9996847,"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."}}