{"id":"W7001926444","doi":"","title":"Medicare Physician Payments: Medicare and Private Payment Differences for Anesthesia Services","year":2007,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium canadien en neurodégénérescence associée au vieillissement","keywords":"Payment; Medicaid; Medicare Part B; Beneficiary; Service (business); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003778158,0.000370568,0.0004196301,0.003843389,0.0005480392,0.001829761,0.0006522913,0.001229232,0.01205739],"category_scores_gemma":[0.02650435,0.0003615061,0.0006564404,0.008678755,0.0003299328,0.001308619,0.0009512129,0.001363036,0.002205158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00363565,"about_ca_system_score_gemma":0.003703867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06173256,"about_ca_topic_score_gemma":0.06943446,"domain_scores_codex":[0.9938043,0.001413601,0.0003424051,0.0003790408,0.003463183,0.0005974659],"domain_scores_gemma":[0.9872435,0.004728989,0.004047887,0.0005214326,0.002686969,0.0007712103],"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":[0.0005896984,0.0002888421,0.3272187,0.0002816554,0.0002560245,0.0001667735,0.0007070613,0.001312575,0.0001307579,0.0512354,0.5325585,0.08525395],"study_design_scores_gemma":[0.0001702653,0.0001359043,0.8156838,0.0002587658,0.000132565,0.0002521919,0.0006234498,0.002204029,0.0003756051,0.00559138,0.1745347,0.00003737322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3317477,0.02865513,0.005213412,0.08077859,0.002993651,0.001089756,0.3200107,0.0007792762,0.2287318],"genre_scores_gemma":[0.799759,0.008694296,0.00485311,0.008397931,0.002029873,0.0008287116,0.1275327,0.0001880167,0.04771647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06173256,"threshold_uncertainty_score":0.1227465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656309523298163,"score_gpt":0.2072906425579728,"score_spread":0.1807275473249912,"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."}}