{"id":"W2902550729","doi":"10.7326/w18-0029","title":"Annals Story Slam - Baby Code White","year":2018,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Neonatal Health and Biochemistry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto","funders":"","keywords":"Annals; White (mutation); Code (set theory); Medicine; History; Computer science; Classics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007589021,0.0008606145,0.0003971037,0.001036102,0.001718912,0.003276503,0.0007607297,0.002486603,0.8532344],"category_scores_gemma":[0.007915567,0.0003897916,0.0004273598,0.0006510628,0.0005137782,0.00301528,0.00290996,0.002435769,0.6584168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009174563,"about_ca_system_score_gemma":0.001063727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520636,"about_ca_topic_score_gemma":0.004555123,"domain_scores_codex":[0.9994081,0.0001013162,0.00002714858,0.00004995236,0.0002942481,0.0001191284],"domain_scores_gemma":[0.9964727,0.0006946333,0.000191659,0.0002716161,0.0009724182,0.001397069],"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":[0.000006189648,0.000005466248,0.00001697634,0.00001889068,2.876789e-7,0.00002241602,0.000009956483,0.000003096816,0.00002087109,0.0001744466,0.9933936,0.006327866],"study_design_scores_gemma":[0.00000830384,0.000008938728,0.000173901,0.0000740496,5.167034e-7,0.00006599524,0.00004811257,0.0000181942,0.00005460683,0.0001755764,0.999369,0.000002889478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007640289,0.001203479,0.0005426308,0.01509967,0.02470459,0.0002194004,0.003005102,0.002928008,0.9515331],"genre_scores_gemma":[0.003533497,0.001256762,0.0004263505,0.006763244,0.006740649,0.0001718109,0.001386636,0.0009136856,0.9788073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8532344,"threshold_uncertainty_score":0.2093433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07043264793871293,"score_gpt":0.4025489065698676,"score_spread":0.3321162586311547,"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."}}