{"id":"W2946863308","doi":"","title":"Statistical Analysis of Mental Health Factors","year":2017,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Binomial regression; Mental health; Marital status; Demography; Logistic regression; Depression (economics); Psychology; Mood; Regression analysis; Variables; Gerontology; Clinical psychology; Medicine; Psychiatry; Statistics; Mathematics; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01152357,0.0007095268,0.001444168,0.005104078,0.001078179,0.001196319,0.001430535,0.0004830896,0.007856056],"category_scores_gemma":[0.05168395,0.0002776908,0.002437129,0.006597665,0.001216504,0.0006978323,0.00119535,0.001803513,0.0005072356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584845,"about_ca_system_score_gemma":0.007429367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1017745,"about_ca_topic_score_gemma":0.08060294,"domain_scores_codex":[0.9891294,0.003778953,0.0009025767,0.001422136,0.003815654,0.0009512177],"domain_scores_gemma":[0.9728385,0.01594662,0.002378513,0.003401975,0.004668036,0.0007664045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001147654,0.0001950789,0.8927364,0.0005370066,0.002392084,0.0004059332,0.001078585,0.002656262,0.0009376531,0.002806156,0.01122559,0.08388171],"study_design_scores_gemma":[0.00006695549,0.0009642363,0.9525239,0.0001687506,0.0005678335,0.000318479,0.001779527,0.02309357,0.0009270203,0.002788024,0.01674619,0.00005551117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7947095,0.002842333,0.1189227,0.002399412,0.001086275,0.004367541,0.05539358,0.002207513,0.01807122],"genre_scores_gemma":[0.9661859,0.0003422503,0.02198813,0.0001638536,0.0001299657,0.002262267,0.005790736,0.0001583498,0.002978658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017745,"threshold_uncertainty_score":0.2023642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5121841521112994,"score_gpt":0.6535125570759511,"score_spread":0.1413284049646517,"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."}}