{"id":"W4406579183","doi":"10.1016/s1541-9800(12)70045-5","title":"10.1016/s1541-9800(12)70045-5","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":"Etanercept; Medicine; Internal medicine; Tumor necrosis factor alpha","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001176308,0.002743195,0.001629808,0.002977786,0.002675432,0.003278153,0.003073347,0.005740582,0.9912361],"category_scores_gemma":[0.002148991,0.0009618171,0.001447767,0.002548801,0.001682714,0.005034646,0.003783408,0.002562567,0.9935734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101853,"about_ca_system_score_gemma":0.001256391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004657147,"about_ca_topic_score_gemma":0.005094226,"domain_scores_codex":[0.9992533,0.00005729588,0.00005713747,0.0002376507,0.0002187049,0.0001757617],"domain_scores_gemma":[0.9975991,0.0006966534,0.0001289643,0.0002554386,0.0004614901,0.0008583342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002934004,0.0002545633,0.000788018,0.0004575977,0.00002506634,0.0002171994,0.0001136813,0.0003326467,0.001519162,0.004234683,0.4029073,0.5888566],"study_design_scores_gemma":[0.00005121039,0.0001068957,0.0007834062,0.00030654,0.00001133777,0.0002670512,0.0001245322,0.000200953,0.0003214363,0.0005342537,0.9972687,0.00002351895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003696215,0.0002476308,0.0006326147,0.0003288701,0.0002433394,0.00009827845,0.0006782287,0.0009110373,0.9964903],"genre_scores_gemma":[0.0003951096,0.0001096807,0.0003240913,0.000178249,0.00005249934,0.00005072412,0.0003352121,0.0001461687,0.9984084],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008763909,"threshold_uncertainty_score":0.01250058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09946135085378718,"score_gpt":0.355512146602427,"score_spread":0.2560507957486399,"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."}}