{"id":"W4242507043","doi":"10.1111/myc.12975","title":"Session","year":2019,"lang":"en","type":"article","venue":"Mycoses","topic":"Antifungal resistance and susceptibility","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Session (web analytics); Medicine; Psychology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.00005751845,0.00004138096,0.0001012448,0.00001606771,0.00001720249,0.00000448775,0.00002403474,0.0000304429,0.001577532],"category_scores_gemma":[0.00004384246,0.00002904651,0.0000408829,0.00005054959,0.00001313341,0.00003546765,0.00001230825,0.00005615426,0.001377037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168348,"about_ca_system_score_gemma":0.00003036534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000828667,"about_ca_topic_score_gemma":0.000003182965,"domain_scores_codex":[0.9996188,0.000007779788,0.00006421753,0.0001102882,0.0001089212,0.00008996762],"domain_scores_gemma":[0.9997062,0.00002458347,0.00001230656,0.0001888928,0.00002687932,0.00004111313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100659,0.00005552794,0.9159502,0.00006755321,0.000006243516,0.00000925659,0.0000390487,2.340437e-7,0.07453585,0.0002598214,0.004032017,0.004934157],"study_design_scores_gemma":[0.0003944998,0.0001260581,0.9431697,0.00007938518,0.00001133931,0.000005243145,0.0001364854,0.00002616855,0.01488377,0.0001436772,0.04096986,0.00005386319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9443356,0.0002081804,0.0000217965,0.000212327,0.00009488284,0.0001065597,0.000001103691,0.00003860355,0.05498096],"genre_scores_gemma":[0.9802741,0.00002638163,0.0001858456,0.0004475313,0.00004462225,0.000001207305,0.000004938161,0.000004979178,0.01901043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05965208,"threshold_uncertainty_score":0.9994005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274913133217071,"score_gpt":0.2829574871819743,"score_spread":0.2702083558498036,"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."}}