{"id":"W7095343542","doi":"","title":"Peritoneal dialysis in Ontario: a natural experiment in physician reimbursement methodology. Perit Dial Int 2004; 24: 531–537","year":2015,"lang":"en","type":"article","venue":"","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Capitation; Peritoneal dialysis; Dialysis; Hemodialysis; Incidence (geometry); Incentive","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":[0.01246243,0.0004842789,0.0005922604,0.0004746047,0.004032976,0.0009941147,0.001248377,0.0009468551,0.002888935],"category_scores_gemma":[0.01784346,0.0006371642,0.0008674358,0.001229382,0.002926245,0.0007387165,0.001063489,0.001272284,0.0004534188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02447193,"about_ca_system_score_gemma":0.02849523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8691717,"about_ca_topic_score_gemma":0.9075665,"domain_scores_codex":[0.9889724,0.007435805,0.0002466854,0.0005912368,0.001464677,0.001289175],"domain_scores_gemma":[0.9836946,0.006979138,0.003912778,0.001495423,0.002207456,0.001710664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02315478,0.02174673,0.8639775,0.0003979188,0.0004600702,0.0007083725,0.03876403,0.001485826,0.003725753,0.002565439,0.0109531,0.03206051],"study_design_scores_gemma":[0.002381305,0.007917541,0.9715218,0.00005195521,0.0001372857,0.00006231177,0.006645939,0.003207896,0.0004467584,0.0004607173,0.007086575,0.00008001715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944728,0.0001118113,0.0005852749,0.0006589639,0.00003527903,0.001275152,0.000575827,0.00001183274,0.002272944],"genre_scores_gemma":[0.9911772,0.0001378459,0.001420914,0.0005709865,0.00004337703,0.001594572,0.0005784835,0.000009664742,0.004467108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308283,"threshold_uncertainty_score":0.2631975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07965922821140697,"score_gpt":0.3310255226907275,"score_spread":0.2513662944793205,"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."}}