{"id":"W2892921286","doi":"10.1200/jgo.18.82000","title":"National Comprehensive Cancer Network: Global Utilization of Clinical Oncology Guidelines","year":2018,"lang":"en","type":"article","venue":"Journal of Global Oncology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Internal medicine; Excellence; Clinical Oncology; Oncology; Nice; Family medicine; Clinical Practice; MEDLINE; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005118931,0.0005326122,0.0007777372,0.005002101,0.0008400713,0.00195201,0.001810226,0.001234477,0.01873535],"category_scores_gemma":[0.02951023,0.0003659605,0.0005390875,0.01530511,0.0006420212,0.002231517,0.00292755,0.002351071,0.003973715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005180841,"about_ca_system_score_gemma":0.01485414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07835048,"about_ca_topic_score_gemma":0.07913133,"domain_scores_codex":[0.9888015,0.002762705,0.002196089,0.001037861,0.004455353,0.0007465025],"domain_scores_gemma":[0.9588169,0.004938033,0.01075074,0.001325523,0.01684383,0.007325032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000055721,0.00008238086,0.06088383,0.00112221,0.00006196755,0.00003485771,0.000145661,0.0001667725,0.00004727122,0.0009742009,0.8777347,0.05869031],"study_design_scores_gemma":[0.0001886133,0.0001109221,0.3757063,0.00310172,0.00009011121,0.0002028839,0.0007540287,0.0006023428,0.000135452,0.001397065,0.6176468,0.00006382344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03198465,0.02512322,0.002163071,0.1028632,0.002309245,0.005701587,0.53966,0.00152574,0.2886693],"genre_scores_gemma":[0.2353583,0.0372284,0.01832737,0.04923851,0.00174233,0.01700583,0.6105149,0.000825652,0.0297587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07835048,"threshold_uncertainty_score":0.1557888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6510068262983199,"score_gpt":0.6754155454729663,"score_spread":0.02440871917464649,"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."}}