{"id":"W2163112313","doi":"10.12927/hcq.2005.17194","title":"Innovation and Access to Cancer Care Services in Ontario","year":2005,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Best practice; Health care; Nursing; Medicine; Economic growth; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517509,0.0001340167,0.0003105815,0.0003742525,0.0000690231,0.0001292685,0.0001683038,0.000107664,0.0001840888],"category_scores_gemma":[0.000004205076,0.0001687804,0.0000217467,0.0002868195,0.00001445513,0.0007706112,0.00002125839,0.0001782574,0.0001223775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007994219,"about_ca_system_score_gemma":0.0001543419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3760554,"about_ca_topic_score_gemma":0.8997013,"domain_scores_codex":[0.9986888,0.000006317862,0.0005892326,0.0003708211,0.00002334283,0.0003215406],"domain_scores_gemma":[0.9994422,0.000009284739,0.0001875486,0.0001861859,0.00006760422,0.0001072014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003471037,0.00001704355,0.7856714,0.0001123812,0.000005955569,0.000001228012,0.02094116,0.00003672199,0.000002309268,0.0410355,0.0002681066,0.1518735],"study_design_scores_gemma":[0.0004129314,0.0001658345,0.8640256,0.00006223759,9.444395e-7,9.213668e-7,0.0005973434,0.00004204857,0.000008012873,0.004127997,0.1303523,0.0002038714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793444,0.003107669,0.00005888116,0.01195074,0.000322527,0.0003231494,0.00007853685,0.00002259822,0.004791486],"genre_scores_gemma":[0.9925182,0.00007179962,0.0002410905,0.006527639,0.0002076322,0.0000889104,0.00001544481,0.00001756379,0.0003117333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236459,"threshold_uncertainty_score":0.6882666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04182370902640753,"score_gpt":0.2998128278832092,"score_spread":0.2579891188568017,"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."}}