{"id":"W4206012082","doi":"10.22215/etd/2021-14797","title":"Dyadic Associations between Body Mass Index, Stress and Type 2 Diabetes Complications","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Intrapersonal communication; Body mass index; Logistic regression; Medicine; Type 2 diabetes; Odds ratio; Demography; Marital status; Interpersonal communication; Diabetes mellitus; Odds; Disease; Gerontology; Clinical psychology; Psychology; Internal medicine; Environmental health; Endocrinology; Social psychology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004811465,0.0001699816,0.0002537741,0.0002766697,0.0006196287,0.0006976157,0.0001775124,0.0002102442,0.003767915],"category_scores_gemma":[0.002062524,0.0001736216,0.0003275587,0.0004209398,0.00008913327,0.0002820475,0.00075982,0.0005816435,0.0002347384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243567,"about_ca_system_score_gemma":0.0003559031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00926818,"about_ca_topic_score_gemma":0.01631639,"domain_scores_codex":[0.9996886,0.0001319088,0.00001908805,0.00005332495,0.00003888358,0.00006819051],"domain_scores_gemma":[0.9992501,0.0001679216,0.000213169,0.00004391405,0.00006314836,0.0002617133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001032434,0.0001214631,0.9935027,0.00001850539,0.0001326007,0.00005381911,0.0005523568,0.00002861293,0.0001282704,0.00005579223,0.0002139481,0.005088819],"study_design_scores_gemma":[0.000003841266,0.00008982964,0.9982173,0.00001504799,0.0000545125,0.00005566639,0.0011189,0.0001161928,0.00002465547,0.00004698411,0.0002542632,0.000002691926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979663,0.0005774575,0.000109951,0.0001355917,0.00001856353,0.00000765577,0.0002142421,0.000002012161,0.0009683252],"genre_scores_gemma":[0.9981973,0.0005066388,0.0001151658,0.00003322163,0.00001614517,0.00001464451,0.0002131899,0.000001294206,0.000902461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00926818,"threshold_uncertainty_score":0.01842844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884512459799753,"score_gpt":0.306071986146279,"score_spread":0.2872268615482815,"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."}}