{"id":"W2159235877","doi":"10.1136/bmj.e5595","title":"Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes","year":2013,"lang":"en","type":"article","venue":"BMJ","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":674,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Economic and Social Research Council; Engineering and Physical Sciences Research Council; Keele University; University of Birmingham; University of Oxford; Nova Scotia Health Research Foundation; British Heart Foundation; University College London; National Institute for Health and Care Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; Dalhousie University; Cancer Research UK; Medical Research Council; Versus Arthritis; London School of Hygiene and Tropical Medicine; Canadian Institutes of Health Research; Queen Mary University of London; Royal Society; National Institute for Social Care and Health Research","keywords":"Relation (database); Field (mathematics); Clinical Practice; Management science; Disease; Medicine; Outcomes research; Engineering ethics; Computer science; Data science; Alternative medicine; Nursing; Pathology; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.2238822,0.002869467,0.002852893,0.01047341,0.002738421,0.01492527,0.005637368,0.006853008,0.009777544],"category_scores_gemma":[0.1698079,0.001323472,0.002931435,0.01082127,0.01168357,0.0180782,0.01022855,0.008300343,0.005898057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006765799,"about_ca_system_score_gemma":0.03166391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003499346,"about_ca_topic_score_gemma":0.002705933,"domain_scores_codex":[0.8106564,0.1684994,0.00773145,0.003312689,0.008145256,0.00165488],"domain_scores_gemma":[0.7625974,0.1930751,0.00901653,0.01136519,0.01838634,0.005559424],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009106319,0.00008323024,0.001877185,0.001642995,0.0001355593,0.00009330211,0.00232324,0.001456853,0.00007021219,0.8895169,0.01988635,0.08282312],"study_design_scores_gemma":[0.0001501035,0.0003836636,0.001619672,0.004591141,0.0001964607,0.0002765819,0.002801872,0.003710812,0.0002562499,0.8296344,0.1562912,0.00008773254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002543128,0.01082992,0.8115975,0.1141603,0.002280755,0.00482866,0.002532417,0.001149749,0.05007755],"genre_scores_gemma":[0.07476311,0.01675918,0.8702604,0.01094696,0.001761104,0.01570517,0.002203485,0.0004428841,0.0071577],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7761177,"threshold_uncertainty_score":0.9570914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8302068532513834,"score_gpt":0.6550695767224437,"score_spread":0.1751372765289397,"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."}}