{"id":"W6885695249","doi":"10.1371/journal.pone.0155828.t002","title":"Bivariate and multivariable GEE logistic regression analyses of correlates of self-reporting institutional barriers to health care among a prospective community cohort of sex workers in Vancouver, Canada, 2010–2013.","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gee; Logistic regression; Bivariate analysis; Health care; Cohort; Generalized estimating equation; Cohort study; Prospective cohort study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743863,0.0009923418,0.001144322,0.002180292,0.001655807,0.001654723,0.003490927,0.0007089698,0.02349623],"category_scores_gemma":[0.01055219,0.001007381,0.001754056,0.005502644,0.0003976911,0.0006710693,0.001559526,0.001598348,0.003829012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007371287,"about_ca_system_score_gemma":0.02092081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976299,"about_ca_topic_score_gemma":0.9868619,"domain_scores_codex":[0.9988875,0.0001071218,0.0001431167,0.0002437541,0.0003511049,0.000267425],"domain_scores_gemma":[0.9926429,0.0007706495,0.0005493534,0.0006819839,0.004761167,0.0005939085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003090413,0.00005445646,0.1886037,0.000921331,0.000533226,0.0001315271,0.0002994817,0.0009770707,0.00008947717,0.0005382218,0.7971605,0.01038194],"study_design_scores_gemma":[0.0006124527,0.00004511425,0.8532287,0.00137466,0.0007245951,0.0002528339,0.00123161,0.001685263,0.0001748527,0.000542786,0.1400011,0.0001260016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009676879,0.0003337589,0.0002473744,0.0001901193,0.00004260957,0.00009770016,0.9872531,0.0001090135,0.002049411],"genre_scores_gemma":[0.07615277,0.0008334305,0.001978043,0.0002341593,0.00003786503,0.0009279085,0.9080943,0.0001673611,0.01157408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02370101,"threshold_uncertainty_score":0.07860273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406035241271481,"score_gpt":0.3392871458400838,"score_spread":0.2852267934273691,"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."}}