{"id":"W3085916184","doi":"10.1016/j.appet.2020.104957","title":"Adaptation and validation of the Portuguese version of the regulation of eating behavior scale (REBSp)","year":2020,"lang":"en","type":"article","venue":"Appetite","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"H2020 Marie Skłodowska-Curie Actions; Fundação para a Ciência e a Tecnologia","keywords":"Portuguese; Psychology; Discriminant validity; Scale (ratio); Concurrent validity; Construct validity; Reliability (semiconductor); Measurement invariance; Validity; Confirmatory factor analysis; Convergent validity; Adaptation (eye); Psychometrics; Structural equation modeling; Test validity; Developmental psychology; Clinical psychology; Statistics; Mathematics; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299679,0.00004817687,0.00008970159,0.00001961688,0.00003130182,0.000001809716,0.00007826769,0.00004878833,0.0003116192],"category_scores_gemma":[0.0000435348,0.00003324709,0.00004419543,0.0001888014,0.00007822563,0.00005675041,0.00003110215,0.00005036128,0.000002406635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005579298,"about_ca_system_score_gemma":0.00001108652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005873245,"about_ca_topic_score_gemma":0.000004747095,"domain_scores_codex":[0.9993424,0.00007464607,0.0002610438,0.0001040038,0.000169873,0.00004805161],"domain_scores_gemma":[0.9993283,0.00003507534,0.0003670944,0.0001720899,0.00008079583,0.00001664171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000573821,0.00007516916,0.9126672,0.00006216072,0.00001362496,1.371487e-7,0.01468746,0.0002515091,0.04661707,0.002297319,0.0003817049,0.02288933],"study_design_scores_gemma":[0.00028291,0.0000367235,0.9809169,0.00008907544,0.00002281582,9.014908e-7,0.001368185,0.0001435443,0.01675563,0.00004689044,0.0003037887,0.00003263887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973223,0.00005143947,0.0002109521,0.0002716771,0.0001482302,0.000230884,0.000009040001,0.000007385748,0.001748096],"genre_scores_gemma":[0.9994205,0.000006530377,0.0002253451,0.00007549919,0.00002425903,0.000004707952,0.00001468352,0.000005505736,0.0002230094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06824977,"threshold_uncertainty_score":0.3412012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859934427353319,"score_gpt":0.2655744392583186,"score_spread":0.2369750949847854,"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."}}