{"id":"W2292102855","doi":"10.2139/ssrn.2560150","title":"Challenges in Obtaining Effective Access to Prescribed Drugs and Protection Against Financial Disruption: Addressing Barriers to Cancer Care in Ontario","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"George Brown College","funders":"","keywords":"Cancer drugs; Business; Cancer; Finance; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002470847,0.0001657324,0.0004631361,0.0006621864,0.007385424,0.003897027,0.001644595,0.001258018,0.005205233],"category_scores_gemma":[0.01413867,0.000537789,0.0006670744,0.002937254,0.00199317,0.001474027,0.003063811,0.00197809,0.0001844774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1235742,"about_ca_system_score_gemma":0.2401179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956307,"about_ca_topic_score_gemma":0.9986909,"domain_scores_codex":[0.9956969,0.0007341523,0.0002291464,0.0001834985,0.0009215704,0.002234641],"domain_scores_gemma":[0.982499,0.00264961,0.003707924,0.0002939627,0.003260995,0.007588594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005418292,0.0004251593,0.8130816,0.0007640824,0.0002588237,0.001748544,0.04966024,0.003614614,0.00074184,0.02031655,0.03516913,0.07367756],"study_design_scores_gemma":[0.0001050664,0.0001682035,0.8796133,0.0005559983,0.0001100107,0.0002959798,0.05542684,0.003063637,0.0002406643,0.002457664,0.05787243,0.00009021976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100851,0.002031493,0.0004632929,0.06515259,0.00008531815,0.0001842519,0.001082124,0.00001836961,0.02089747],"genre_scores_gemma":[0.9893338,0.001632832,0.0005118964,0.002121867,0.00003680944,0.0000577577,0.0002192485,0.00001656101,0.006069365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235742,"threshold_uncertainty_score":0.8965975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06625690618141085,"score_gpt":0.2881928588318481,"score_spread":0.2219359526504373,"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."}}