{"id":"W4320855838","doi":"10.1093/aje/kwad030","title":"Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mailman School of Public Health, Columbia University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Centers for Disease Control and Prevention; National Institutes of Health; York University; Harvard University; Harvard T.H. Chan School of Public Health; School of Medicine, Boston University; Massachusetts General Hospital; National Heart, Lung, and Blood Institute; Brigham and Women's Hospital","keywords":"Qualitative research; Qualitative property; Coding (social sciences); Computer science; Cohort; Cohort study; Multimethodology; Data science; Popularity; Management science; Applied psychology; Psychology; Medicine; Statistics; Social psychology; Sociology; Machine learning; Social science; Mathematics; Pathology; Engineering","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":[0.4486548,0.003231222,0.002813641,0.01380444,0.005809788,0.00957999,0.007671876,0.002989302,0.02078398],"category_scores_gemma":[0.5860152,0.003658723,0.005055476,0.01379416,0.007469423,0.008491949,0.01580233,0.005080934,0.003980695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006857595,"about_ca_system_score_gemma":0.02151639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004918871,"about_ca_topic_score_gemma":0.01207685,"domain_scores_codex":[0.390502,0.541306,0.02913373,0.01641728,0.02101903,0.001622033],"domain_scores_gemma":[0.285319,0.530808,0.03167564,0.1112995,0.03867308,0.002224711],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009934173,0.0009202178,0.01056862,0.0211633,0.001852253,0.0006111702,0.0948262,0.005399655,0.004402299,0.1906645,0.02498125,0.643617],"study_design_scores_gemma":[0.004116267,0.00214909,0.01818948,0.0259953,0.002278346,0.001173486,0.04128181,0.05164283,0.0119195,0.4947539,0.3452687,0.001231387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002701786,0.0003785093,0.9474665,0.001479176,0.0005409485,0.04169168,0.001072066,0.000812254,0.003857024],"genre_scores_gemma":[0.007107077,0.0001387715,0.9031561,0.0003191792,0.00006855636,0.08854266,0.0001614767,0.0001248255,0.0003813168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5513452,"threshold_uncertainty_score":0.6799068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.527451782605376,"score_gpt":0.7064674364916761,"score_spread":0.1790156538863001,"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."}}