{"id":"W2910620519","doi":"10.15761/gimci.1000168","title":"Tumor Necrosis Factor","year":2018,"lang":"en","type":"article","venue":"General Internal Medicine and Clinical Innovations","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Factor (programming language); Medicine; Computer science; Programming language","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":[],"category_scores_codex":[0.000197659,0.0001320189,0.0003042094,0.0001522982,0.0001408925,0.00001392968,0.00003554228,0.00007242835,0.001544751],"category_scores_gemma":[0.0004687635,0.00008737351,0.00007341051,0.0003708747,0.0005160415,0.00006491628,0.00004630166,0.0002508969,0.0001085334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002325668,"about_ca_system_score_gemma":0.00005401493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003802829,"about_ca_topic_score_gemma":0.0000512434,"domain_scores_codex":[0.9987541,0.00002712744,0.0006235188,0.0002576571,0.0001604639,0.0001770734],"domain_scores_gemma":[0.9990067,0.00009754571,0.0001134476,0.0002042622,0.0004009718,0.0001770379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001427663,0.0004641675,0.8638276,0.0000167569,0.0004143222,0.00005820006,0.0001335445,2.285358e-8,0.000987047,0.006767024,0.04651067,0.08067793],"study_design_scores_gemma":[0.00340429,0.004258045,0.8722528,0.0002116731,0.0002455082,0.0002614169,0.00006587385,0.0002958291,0.0002968652,0.0007956483,0.117768,0.0001440487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665871,0.00004736549,0.001066876,0.006529337,0.001155605,0.0001634474,0.00001207761,0.00005600137,0.02438225],"genre_scores_gemma":[0.9723909,0.00009678349,0.001384362,0.01001716,0.003579026,0.00001291876,0.00002685131,0.00001464489,0.01247731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08053388,"threshold_uncertainty_score":0.999368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021318961855222,"score_gpt":0.4380452962346686,"score_spread":0.3359134000491464,"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."}}