{"id":"W6904125056","doi":"10.1371/journal.pgph.0002033.s005","title":"Sensitivity analysis multivariable regressions.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receipt; Confidence interval; Quarter (Canadian coin); Odds ratio; Vaccination; Logistic regression; Odds","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":[0.04649323,0.002673956,0.004354073,0.003883008,0.000896797,0.002142311,0.003708807,0.001897408,0.1007654],"category_scores_gemma":[0.180619,0.001428639,0.01551724,0.006713796,0.0006605356,0.003352143,0.003336668,0.005845055,0.01037137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623711,"about_ca_system_score_gemma":0.002598212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216247,"about_ca_topic_score_gemma":0.01204773,"domain_scores_codex":[0.9179803,0.06335372,0.004935559,0.006997421,0.00409513,0.002637831],"domain_scores_gemma":[0.8877907,0.08837418,0.006698979,0.01201562,0.004558545,0.0005619706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01323056,0.000635918,0.1690723,0.04760795,0.1476956,0.002159988,0.001383302,0.02502341,0.0006840578,0.01994221,0.4623302,0.1102344],"study_design_scores_gemma":[0.005298718,0.003062166,0.1910957,0.01752644,0.08212498,0.002812429,0.003885956,0.1026352,0.002251178,0.04181645,0.5464442,0.00104657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1237426,0.05303705,0.1758597,0.008525823,0.01233818,0.02190513,0.5343273,0.006043544,0.06422051],"genre_scores_gemma":[0.7910147,0.005587526,0.05955495,0.007609779,0.001782685,0.04115091,0.06189102,0.002795997,0.02861244],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1007654,"threshold_uncertainty_score":0.3370938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06411157690853615,"score_gpt":0.3451354747522149,"score_spread":0.2810238978436788,"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."}}