{"id":"W2947324866","doi":"","title":"To buy or not to buy: How Evidence Informs Canadian Health Technology Decisions","year":2010,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Agency for Drugs and Technologies in Health","funders":"","keywords":"Business; Marketing; Internet privacy; Public relations; Advertising; Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009044136,0.0002823852,0.000970582,0.001870772,0.0005555452,0.0003375048,0.0009191196,0.0003372598,0.000331904],"category_scores_gemma":[0.03439751,0.0003083315,0.00008128906,0.001235952,0.00008640792,0.0009658502,0.0001748237,0.0004964217,0.005410865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028471,"about_ca_system_score_gemma":0.001211462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02291916,"about_ca_topic_score_gemma":0.1192403,"domain_scores_codex":[0.9956425,0.00001212358,0.002311709,0.0008318245,0.0001440986,0.00105768],"domain_scores_gemma":[0.9962174,0.0004822423,0.0009445638,0.0005202039,0.0003192243,0.001516344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008003001,0.00007595038,0.06944638,0.0003179065,0.0000478062,0.000002937913,0.009592352,0.00001722775,0.0002699192,0.31218,0.6018744,0.00609518],"study_design_scores_gemma":[0.0004140945,0.0006195455,0.05910276,0.0004613538,0.000003992235,0.00004224786,0.004189359,0.0004195949,0.0002099289,0.004318315,0.9294531,0.0007657221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5899822,0.0001961043,0.0003721795,0.4058337,0.0008194568,0.001251199,0.0001862227,0.0001291241,0.001229821],"genre_scores_gemma":[0.9104596,0.00007088961,0.01505158,0.07129061,0.0004283589,0.0002921732,0.000005814049,0.00005233579,0.002348578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3345431,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4244199847268367,"score_gpt":0.4622184649746302,"score_spread":0.03779848024779348,"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."}}