{"id":"W7110985753","doi":"10.1371/journal.pone.0324255.s001","title":"Variance Inflation Factor (VIF).","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Quarter (Canadian coin); Odds ratio; Logistic regression; Confidence interval; Mobile phone; Variance (accounting); Inflation (cosmology); Reproductive health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01997633,0.00307829,0.002950309,0.005736782,0.001316447,0.003824289,0.003482471,0.002592275,0.1093251],"category_scores_gemma":[0.1206586,0.0007944435,0.005314904,0.008667476,0.001804332,0.001891349,0.002135747,0.00531086,0.02201323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355511,"about_ca_system_score_gemma":0.003836425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214528,"about_ca_topic_score_gemma":0.006940853,"domain_scores_codex":[0.9696243,0.01550755,0.001816902,0.006918491,0.004533145,0.001599543],"domain_scores_gemma":[0.9293655,0.05610891,0.003228841,0.006214783,0.004478074,0.0006039089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001799678,0.0007518772,0.3163207,0.003458574,0.01003195,0.002076386,0.002975771,0.02161327,0.0009517942,0.04501983,0.2316529,0.3633472],"study_design_scores_gemma":[0.0005450001,0.002163182,0.2835026,0.004872693,0.004087501,0.003982912,0.005358549,0.1595707,0.001413529,0.1116066,0.4223298,0.0005670615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1908147,0.0160009,0.5451967,0.006760927,0.008845188,0.00624062,0.1340418,0.01289652,0.07920267],"genre_scores_gemma":[0.726558,0.002705313,0.1732465,0.001344887,0.00148952,0.007684787,0.03379439,0.003976257,0.04920026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8906749,"threshold_uncertainty_score":0.3657289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04445985767273995,"score_gpt":0.3350296570310291,"score_spread":0.2905697993582891,"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."}}