{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006959197,0.000196485,0.0005080946,0.0001451561,0.00005162797,0.00000280755,0.0002087463,0.0001244587,0.001738628],"category_scores_gemma":[0.0006509781,0.0001397536,0.0001111478,0.000179001,0.0006290516,0.00005607626,0.00005908748,0.0003507552,0.0001120373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001481455,"about_ca_system_score_gemma":0.0001018358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496887,"about_ca_topic_score_gemma":0.00002019272,"domain_scores_codex":[0.9982154,0.00003814588,0.0005263779,0.0002876416,0.0005245872,0.0004078674],"domain_scores_gemma":[0.9979725,0.00008599062,0.0002342104,0.0003964629,0.0008165579,0.0004942334],"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":[0.00387107,0.0002899639,0.01650546,0.001179768,0.0002273323,0.0002634081,0.001332272,8.199378e-8,0.07169785,0.0001640724,0.8395073,0.06496137],"study_design_scores_gemma":[0.00231927,0.006737576,0.02569702,0.004010048,0.00006356084,0.0004410576,0.0005338441,0.00005433243,0.4507067,0.0003168265,0.508884,0.0002358582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663893,0.004775086,0.0001545942,0.06499022,0.0008416047,0.0002427989,0.00004605585,0.00006540165,0.06249494],"genre_scores_gemma":[0.9548079,0.000447415,0.0001466171,0.02952364,0.002615279,0.000005360724,0.0000232335,0.00002239474,0.01240814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790088,"threshold_uncertainty_score":0.9991739,"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."}}