{"id":"W2341530876","doi":"10.1093/eurheartj/suv041","title":"Achieving access: addressing the needs of payors and health technology assessment agencies: Figure 1","year":2015,"lang":"en","type":"article","venue":"European Heart Journal Supplements","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"Bayer","keywords":"Medicine; Health care; Risk analysis (engineering); Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.08259182,0.001517813,0.001872442,0.00305865,0.01043074,0.03897283,0.005553561,0.0331565,0.05066767],"category_scores_gemma":[0.1819965,0.001367664,0.001819597,0.002925413,0.007913313,0.03520075,0.0266887,0.02608338,0.01796677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009416263,"about_ca_system_score_gemma":0.07385606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007575212,"about_ca_topic_score_gemma":0.007126809,"domain_scores_codex":[0.9086879,0.04046221,0.006887925,0.006412753,0.02577422,0.01177503],"domain_scores_gemma":[0.7787568,0.076528,0.0115954,0.01099723,0.05949819,0.06262442],"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":[0.0001015261,0.0002309824,0.004083368,0.001132633,0.0001027846,0.0008599836,0.003748087,0.0007201252,0.0005809686,0.2067004,0.6302409,0.1514983],"study_design_scores_gemma":[0.0000779674,0.0001510981,0.001969001,0.002497307,0.00004364492,0.001165151,0.003944799,0.001059336,0.0002987861,0.1672024,0.8214505,0.0001400905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001893067,0.003234105,0.01045708,0.9327972,0.003111707,0.0003729149,0.0002191012,0.0003074254,0.04760732],"genre_scores_gemma":[0.09769356,0.01562898,0.1125398,0.6956416,0.0126114,0.00259713,0.001332066,0.0008512276,0.06110438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08259182,"threshold_uncertainty_score":0.4367925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7344642624969677,"score_gpt":0.5408315380591479,"score_spread":0.1936327244378199,"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."}}