{"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 (<i>Unnecessary</i>–Yes <i>vs</i>. No and Yes(both)† <i>vs</i>. 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00796738,0.001305269,0.002623357,0.000714924,0.005347276,0.000421094,0.001770692,0.001110452,0.001054774],"category_scores_gemma":[0.105542,0.0009767256,0.0002834406,0.0005008918,0.001026288,0.0006677776,0.0006094232,0.001523637,0.00006755147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275973,"about_ca_system_score_gemma":0.004403809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08844291,"about_ca_topic_score_gemma":0.9226016,"domain_scores_codex":[0.9848998,0.008283271,0.002290791,0.001419553,0.0008508877,0.002255732],"domain_scores_gemma":[0.9547239,0.0348403,0.00361402,0.00257638,0.001642041,0.002603334],"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":[0.003980841,0.0005048379,0.2746778,0.003966894,0.001412446,0.00004195881,0.003398017,0.0002384208,0.0001500917,0.005771454,0.7013786,0.0044787],"study_design_scores_gemma":[0.006450715,0.0006008741,0.9615915,0.003674242,0.0003269481,0.00002566656,0.00006097186,0.01277646,0.00001365404,0.001546235,0.01188966,0.001043085],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.585726,0.004812509,0.0005964368,0.00324464,0.0007436408,0.008554797,0.3940369,0.0003014813,0.001983619],"genre_scores_gemma":[0.9541754,0.0002968385,0.01769454,0.001052116,0.0006044224,0.0005221178,0.0249469,0.0002663395,0.0004413235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8341587,"threshold_uncertainty_score":0.9999699,"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."}}