{"id":"W2752046372","doi":"10.7202/1040998ar","title":"PUBLICLY FUNDED MEDICAL TRAVEL SUBSIDY PROGRAMS IN CANADA","year":2017,"lang":"en","type":"article","venue":"Canadian social work review","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Subsidy; Payment; Business; Service (business); Health care; Finance; Economic growth; Marketing; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003059237,0.0002890214,0.000629855,0.003820729,0.001814473,0.002216612,0.001153324,0.0005386201,0.003011106],"category_scores_gemma":[0.009865518,0.0002319512,0.0006676828,0.01117424,0.0010272,0.0005101354,0.0008117696,0.000844372,0.00009676275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07711957,"about_ca_system_score_gemma":0.2353454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963548,"about_ca_topic_score_gemma":0.997646,"domain_scores_codex":[0.9965441,0.0005428157,0.0001639154,0.0001736815,0.001615119,0.000960274],"domain_scores_gemma":[0.9916721,0.001427869,0.001111741,0.0001347731,0.004482524,0.001170988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000484035,0.0002271978,0.2218764,0.01222656,0.001029426,0.0006679064,0.00328282,0.006237289,0.0003117815,0.06357325,0.1475169,0.5425665],"study_design_scores_gemma":[0.0001604058,0.0001233582,0.7844928,0.008867249,0.0007014869,0.0002546218,0.004601143,0.002928183,0.0002382423,0.002841115,0.1946917,0.00009984007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2027266,0.6955686,0.0009576064,0.03317548,0.0007928732,0.00021488,0.008076808,0.00006615132,0.0584211],"genre_scores_gemma":[0.7213171,0.2692072,0.0008257118,0.002092139,0.000188339,0.00007001759,0.002255689,0.00001961634,0.004024338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07711957,"threshold_uncertainty_score":0.5595442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579447138343831,"score_gpt":0.2949693094359516,"score_spread":0.1370245956015685,"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."}}