{"id":"W2145619454","doi":"10.1017/s0266462310000024","title":"Does the public think it is reasonable to wait for more evidence before funding innovative health technologies? The case of PET scanning in Ontario","year":2010,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Sunnybrook Health Science Centre; Cancer Care Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Public health; Medicine; Public funding; Business; Political science; Public administration; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02817046,0.0003275687,0.0004968697,0.0008419902,0.03304562,0.007942415,0.003275197,0.01613454,0.003731894],"category_scores_gemma":[0.06711723,0.0009122242,0.0009883534,0.001995171,0.02154347,0.003563059,0.005848638,0.01018461,0.0002694124],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1344972,"about_ca_system_score_gemma":0.1872056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9156659,"about_ca_topic_score_gemma":0.9352159,"domain_scores_codex":[0.9625586,0.01418272,0.001753562,0.002005158,0.008063497,0.01143636],"domain_scores_gemma":[0.9389516,0.03660692,0.005495167,0.002033338,0.007315135,0.009597799],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000949978,0.0003974983,0.1113917,0.001638768,0.0004132555,0.08144259,0.328586,0.004038737,0.006366183,0.2629242,0.1289998,0.07285126],"study_design_scores_gemma":[0.0005230383,0.0004271818,0.07700527,0.002427533,0.0005394559,0.008275038,0.3285072,0.003499029,0.002688314,0.06362995,0.5118081,0.0006699255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2058599,0.003627049,0.00116089,0.7338969,0.0003201683,0.0002959631,0.00009294256,0.00002474816,0.05472142],"genre_scores_gemma":[0.9102384,0.002191729,0.001720047,0.07580069,0.000196655,0.0001244488,0.00004124821,0.00002406235,0.009662676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9718295,"threshold_uncertainty_score":0.97585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2265860755066229,"score_gpt":0.4956869144012619,"score_spread":0.2691008388946391,"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."}}