{"id":"W4250995090","doi":"10.1787/8311090f-en","title":"OECD Health Division Survey on Health Care Provider Payment for Nuclear Medicine Diagnostic Services","year":2019,"lang":"en","type":"book-chapter","venue":"OECD eBooks","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); NOMINATE; Payment; Health care; Medicine; Family medicine; Business; Geography; Economic growth; Finance","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":[0.00131472,0.0005308014,0.000364169,0.002637426,0.00033909,0.0006473011,0.0004865693,0.0002569854,0.0228273],"category_scores_gemma":[0.00287783,0.000188188,0.0002748283,0.007809608,0.000177694,0.0006033763,0.0007062751,0.0005407705,0.0115645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019995,"about_ca_system_score_gemma":0.002176346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06394266,"about_ca_topic_score_gemma":0.08665192,"domain_scores_codex":[0.9988186,0.0002519588,0.0001147865,0.0000921036,0.0005975504,0.0001249262],"domain_scores_gemma":[0.9973998,0.000591549,0.0005928858,0.00009312084,0.001134674,0.0001880458],"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":[0.00005458367,0.00005578332,0.01824853,0.0002666985,0.00001708856,0.00003064712,0.0002087063,0.0001556146,0.00006135731,0.00110674,0.960896,0.01889831],"study_design_scores_gemma":[0.00004910486,0.00003364859,0.2303189,0.0003745193,0.00001461635,0.00007622333,0.0005431347,0.000179156,0.0001547864,0.0004108602,0.7678199,0.00002512196],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01457873,0.001202633,0.0006024569,0.001310595,0.000402559,0.0007000955,0.8468618,0.0002055652,0.1341355],"genre_scores_gemma":[0.05514664,0.006049546,0.004201571,0.001725315,0.0003339399,0.004433302,0.7924567,0.0002358099,0.1354172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06394266,"threshold_uncertainty_score":0.1271409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959858591089361,"score_gpt":0.3134278754973331,"score_spread":0.2838292895864395,"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."}}