{"id":"W3086884385","doi":"10.1002/pds.5079","title":"Improving transparency to build trust in <scp>real‐world</scp> secondary data studies for hypothesis testing—Why, what, and how: recommendations and a road map from the <scp>real‐world</scp> evidence transparency initiative","year":2020,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"International Society for Pharmacoepidemiology; National Pharmaceutical Council","keywords":"Transparency (behavior); Comparative effectiveness research; Medicine; Outcomes research; Health care; Pharmacoeconomics; Real world evidence; Alternative medicine; Computer science; Political science","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.777196,0.00256688,0.009563224,0.01467544,0.007455469,0.03665205,0.01783766,0.05863061,0.01754509],"category_scores_gemma":[0.9099186,0.005874741,0.01659963,0.01531161,0.04144725,0.04592473,0.0301299,0.06843899,0.006933242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02491062,"about_ca_system_score_gemma":0.1648155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760902,"about_ca_topic_score_gemma":0.01484443,"domain_scores_codex":[0.1522868,0.6699719,0.09080915,0.01277824,0.06766553,0.006488353],"domain_scores_gemma":[0.01249153,0.8491151,0.02268905,0.04583424,0.062399,0.007471143],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001161392,0.0004436708,0.00303278,0.03311526,0.002284418,0.000803696,0.008695659,0.002316514,0.0007091916,0.1224696,0.5475144,0.2774534],"study_design_scores_gemma":[0.002433163,0.0006729002,0.004734098,0.1277584,0.001379265,0.0006968265,0.002806894,0.005724594,0.00135408,0.2673903,0.584291,0.0007584523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0009102797,0.03549168,0.034092,0.896225,0.01741133,0.003328024,0.0009522579,0.0006837442,0.01090568],"genre_scores_gemma":[0.04405517,0.03343079,0.1887339,0.6928824,0.02065903,0.01400497,0.001663344,0.001023402,0.003547063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.222804,"threshold_uncertainty_score":0.274757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6006322429748091,"score_gpt":0.4679675235392478,"score_spread":0.1326647194355613,"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."}}