{"id":"W3113247008","doi":"10.1016/j.dsx.2020.12.017","title":"Protection motivation theory to predict intention of healthy eating and sufficient physical activity to prevent Diabetes Mellitus in Thai population: A path analysis","year":2020,"lang":"en","type":"article","venue":"Diabetes & Metabolic Syndrome Clinical Research & Reviews","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Thai Health Promotion Foundation; Mahidol University; Robert H. Smith International Center for Jefferson Studies, Thomas Jefferson Foundation","keywords":"Cmin; Thais; Structural equation modeling; Path analysis (statistics); Diabetes mellitus; Psychology; Overweight; Population; Self-efficacy; Medicine; Clinical psychology; Obesity; Gerontology; Demography; Internal medicine; Environmental health; Social psychology; Endocrinology; Statistics","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":[0.002858647,0.001177848,0.0007355111,0.001285748,0.001479885,0.002434435,0.001095345,0.001242814,0.008357],"category_scores_gemma":[0.006876056,0.0009889234,0.003472697,0.001282761,0.0009946802,0.001261648,0.001972427,0.003510868,0.0003989911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151014,"about_ca_system_score_gemma":0.004609347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164883,"about_ca_topic_score_gemma":0.01476176,"domain_scores_codex":[0.9983612,0.0009571144,0.00007053548,0.0002151872,0.0001037339,0.0002922126],"domain_scores_gemma":[0.9911851,0.006366705,0.0006733575,0.0002800779,0.0005517883,0.0009428958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004402064,0.001737874,0.9850506,0.00008955805,0.0008896478,0.000264905,0.001545644,0.001137916,0.0001189863,0.001433638,0.0003719282,0.006919148],"study_design_scores_gemma":[0.0003499247,0.001726075,0.9364852,0.0003205087,0.003612578,0.0006436315,0.009523099,0.04129463,0.0002762741,0.004831247,0.0008683827,0.00006835545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967552,0.0002103456,0.0009300304,0.0004426038,0.00003615534,0.00006739887,0.000137636,0.000008082678,0.001412666],"genre_scores_gemma":[0.9981158,0.0001419251,0.0008282394,0.00005424456,0.000009346017,0.00007757181,0.0001479038,0.000003665377,0.000621386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02164883,"threshold_uncertainty_score":0.04304564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2614127818071389,"score_gpt":0.5118937252982287,"score_spread":0.2504809434910898,"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."}}