{"id":"W2161222696","doi":"10.1503/cmaj.101506","title":"Industry involvement and baseline assumptions of cost-effectiveness analyses: diagnostic accuracy of the Papanicolaou test","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Papanicolaou stain; Baseline (sea); Papanicolaou Test; Test (biology); Computer science; Medical physics; Gynecology; Medicine; Data science; Internal medicine; Cervical cancer; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3164373,0.001379108,0.003313268,0.0053907,0.0005116891,0.006138697,0.00275244,0.003282347,0.003370874],"category_scores_gemma":[0.6677374,0.0009664564,0.008447875,0.006697427,0.001958598,0.004040698,0.001860432,0.003111792,0.0002304483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004878378,"about_ca_system_score_gemma":0.002843653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687001,"about_ca_topic_score_gemma":0.002074992,"domain_scores_codex":[0.5579939,0.3437158,0.06206537,0.008568845,0.02546149,0.002194537],"domain_scores_gemma":[0.1738747,0.7387568,0.06475019,0.01112492,0.01093585,0.0005575822],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02429049,0.0003995967,0.572429,0.07889653,0.08228146,0.001147249,0.00225281,0.0299139,0.001937788,0.02408471,0.004741865,0.1776246],"study_design_scores_gemma":[0.008192077,0.00653713,0.5770348,0.06296622,0.1627107,0.00596322,0.001468689,0.07531875,0.008410968,0.06954,0.02122088,0.0006365911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4294091,0.3561511,0.1559021,0.01956076,0.001393078,0.006439192,0.008752858,0.000208439,0.02218334],"genre_scores_gemma":[0.9667484,0.008075339,0.02058205,0.001349939,0.0002452919,0.00154902,0.0012334,0.00002925939,0.0001874181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6835626,"threshold_uncertainty_score":0.8429545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3638301395381574,"score_gpt":0.4275100775547981,"score_spread":0.06367993801664074,"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."}}