{"id":"W4248069802","doi":"10.1503/cmaj.180114","title":"Little things","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Adrenal Hormones and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epinephrine; Computer science; World Wide Web; Medicine; Data science; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006943281,0.00006426209,0.0001295687,0.0001021928,0.0002192811,0.00003624911,0.00008118409,0.0002299798,0.01024967],"category_scores_gemma":[0.00145819,0.00005282797,0.00007484798,0.000156537,0.00004916473,0.00009613064,0.0000072566,0.000507109,0.0008247037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346587,"about_ca_system_score_gemma":0.002098901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926513,"about_ca_topic_score_gemma":0.005852291,"domain_scores_codex":[0.9984986,0.00003114194,0.0002086822,0.00008354063,0.0008424734,0.0003355468],"domain_scores_gemma":[0.997674,0.00004142463,0.00008040913,0.00006242769,0.000382301,0.001759459],"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":[0.00002513087,0.00003392061,0.06271374,0.00000544323,0.0001050449,0.0004800425,0.0006435956,8.143633e-8,0.00001855298,0.0009364409,0.8539228,0.08111521],"study_design_scores_gemma":[0.0009001028,0.0001677363,0.04581974,0.00004481146,0.00002604002,0.0008274781,0.0004147192,0.0001919714,0.00001666138,0.0004851116,0.9510237,0.00008193825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4766108,0.0007477308,0.0007795529,0.2836885,0.002172576,0.0001907882,0.000009811357,0.00006759062,0.2357327],"genre_scores_gemma":[0.9215058,0.00008698387,0.0002953366,0.06937872,0.004481981,0.000001398378,0.000005906039,0.00001521208,0.004228664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.444895,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006014344653712579,"score_gpt":0.2409952717184519,"score_spread":0.2349809270647393,"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."}}