{"id":"W6904396697","doi":"10.1371/journal.pone.0172117.s001","title":"Binomial and multinomial logistic regression analyses of the relationship between self-rated health and the reasons for non-vaccination (&lt;i&gt;Unnecessary&lt;/i&gt;–Yes &lt;i&gt;vs&lt;/i&gt;. No and Yes(both)† &lt;i&gt;vs&lt;/i&gt;. No), against seasonal influenza among Canadian adults with asthma, Canadian Community Health Survey pooled cycles 3.1(2005), 2007/08, 2009/10, 2011/12.","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Logistic regression; Seasonal influenza; Multinomial distribution; Binomial regression; Negative binomial distribution; Regression analysis; Epidemiology","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":[0.01507857,0.0008785831,0.001953852,0.003240904,0.001097033,0.001010425,0.003194801,0.001034694,0.03512967],"category_scores_gemma":[0.04763843,0.00078034,0.004868323,0.005496448,0.0007500505,0.001687212,0.001591369,0.002661973,0.002191626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289392,"about_ca_system_score_gemma":0.006203414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4160185,"about_ca_topic_score_gemma":0.3934885,"domain_scores_codex":[0.9881639,0.005501412,0.0009503681,0.002330807,0.00196764,0.001085919],"domain_scores_gemma":[0.980025,0.01102314,0.00277018,0.00277057,0.002708754,0.0007023616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01066319,0.0003955264,0.5490239,0.003910632,0.01987119,0.0006152056,0.00119791,0.004361729,0.0007046378,0.006375138,0.3481736,0.0547074],"study_design_scores_gemma":[0.001496423,0.0009930095,0.9053937,0.001216558,0.006360298,0.000449554,0.001882546,0.01963337,0.0003583565,0.003091527,0.058882,0.0002427045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3278472,0.01110374,0.02335885,0.002591609,0.002560974,0.002681647,0.6124856,0.001483591,0.01588682],"genre_scores_gemma":[0.7852713,0.002434233,0.0230401,0.0007161375,0.0004407899,0.007282487,0.1478538,0.0007061491,0.03225493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5839815,"threshold_uncertainty_score":0.8271939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513302488750049,"score_gpt":0.3939279182354485,"score_spread":0.2425976693604436,"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."}}