{"id":"W4244412197","doi":"10.5325/shaw.38.2.0331","title":"Notices","year":2018,"lang":"en","type":"article","venue":"Shaw","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Citation; Publishing; Library science; Download; History; World Wide Web; Art; Computer science; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004245385,0.00003233422,0.00007459094,0.00002382619,0.0000264003,0.00001455474,0.00002467812,0.00002402177,0.00134125],"category_scores_gemma":[0.00002225434,0.0000221073,0.0000377804,0.00007913191,0.00003684475,0.00003050873,0.000008103069,0.00003821212,0.0005224191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003821244,"about_ca_system_score_gemma":0.000009664795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006921426,"about_ca_topic_score_gemma":0.000005734113,"domain_scores_codex":[0.9997103,0.000004409965,0.00005649585,0.00007557445,0.00007729499,0.00007598324],"domain_scores_gemma":[0.9997485,0.000007174255,0.000008448314,0.0001264135,0.00006663253,0.00004278292],"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":[0.0003905707,0.0008786191,0.1120811,0.0003319942,0.000879192,0.0004962893,0.009169568,4.756811e-7,0.06403144,0.1782329,0.5365257,0.09698216],"study_design_scores_gemma":[0.0005291617,0.0003265372,0.0242843,0.00007757857,0.0002359344,0.0000200454,0.0001589546,0.000265241,0.01112264,0.00110526,0.9617733,0.0001010546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4586796,0.0005741971,0.0001069614,0.004241816,0.000201302,0.00005653092,0.000002217844,0.00005033662,0.536087],"genre_scores_gemma":[0.9858215,0.000002270849,0.0004979761,0.003842829,0.0007638722,9.847043e-7,0.000005558058,0.000003840646,0.009061158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5271419,"threshold_uncertainty_score":0.9995717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125894903655603,"score_gpt":0.3025935783148431,"score_spread":0.2913346292782871,"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."}}