{"id":"W2970783423","doi":"10.1177/0272989x19856617","title":"Exclusion Criteria as Measurements I: Identifying Invalid Responses","year":2019,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institutes of Health; National Center for Advancing Translational Sciences; Riksbankens Jubileumsfond","keywords":"Valuation (finance); Sample (material); Psychology; Actuarial science; Econometrics; Medicine; Social psychology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.3289493,0.002670157,0.004738107,0.00913846,0.003837992,0.003576188,0.004407873,0.005686327,0.008406241],"category_scores_gemma":[0.5922237,0.001349865,0.00618416,0.01099037,0.00538577,0.003861793,0.00517098,0.003563955,0.001835691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006319033,"about_ca_system_score_gemma":0.01008126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799968,"about_ca_topic_score_gemma":0.00304245,"domain_scores_codex":[0.4570288,0.3353546,0.1418747,0.01642156,0.04478351,0.004536886],"domain_scores_gemma":[0.3061037,0.5016917,0.09637505,0.0570718,0.03613463,0.002623174],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01280097,0.0008473571,0.1429557,0.2051699,0.008724478,0.004721057,0.04738502,0.002351281,0.003967128,0.08032081,0.1551434,0.335613],"study_design_scores_gemma":[0.004897606,0.002315532,0.2187894,0.1822627,0.006670727,0.003275626,0.009035759,0.0100381,0.01033921,0.1232255,0.4280359,0.001114028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.2176932,0.06724466,0.2746528,0.03405309,0.01942434,0.3085099,0.03264295,0.002522745,0.04325629],"genre_scores_gemma":[0.397619,0.008071769,0.1803624,0.02638564,0.002206518,0.3705166,0.009323341,0.0007527326,0.004762051],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6710507,"threshold_uncertainty_score":0.827525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.575652382298607,"score_gpt":0.5373958065628411,"score_spread":0.03825657573576591,"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."}}