{"id":"W4406578887","doi":"10.1016/s1541-9800(09)70097-3","title":"10.1016/s1541-9800(09)70097-3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008867396,0.0001249218,0.0002187238,0.00009340588,0.0006429329,0.000009278244,0.0001848587,0.0002001328,0.9992117],"category_scores_gemma":[0.0002606453,0.0001081986,0.00003911987,0.0002203369,0.00002431253,0.0001236547,0.00004084775,0.0005446755,0.9993184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136835,"about_ca_system_score_gemma":0.0002178022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008041415,"about_ca_topic_score_gemma":8.031433e-7,"domain_scores_codex":[0.9981719,0.0001923084,0.0005758082,0.0001638248,0.0003119407,0.0005842687],"domain_scores_gemma":[0.9987836,0.0002502114,0.00008923898,0.0003005656,0.00009163038,0.0004847583],"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":[0.00005932818,0.00001213867,5.567124e-7,0.00007313876,0.000002678887,6.535801e-7,0.0002232391,0.00000605349,9.956644e-7,0.00000555885,0.5952157,0.4044],"study_design_scores_gemma":[0.0004170325,0.0001229737,0.0001359262,0.0001553507,0.000007398639,0.00000109409,0.00001403365,0.00063793,0.000002167439,0.00002255359,0.9983617,0.0001218206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005146063,0.00003040418,0.000008536981,0.003531825,0.00001143614,0.000532708,0.00001686894,0.0002657905,0.9950878],"genre_scores_gemma":[0.000124086,0.000001294104,0.0001712187,0.001434231,0.0005058055,0.00009922474,0.00004623771,0.0000187516,0.9975991],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4042781,"threshold_uncertainty_score":0.4944985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09141342400824612,"score_gpt":0.3564983830226601,"score_spread":0.265084959014414,"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."}}