{"id":"W2970461856","doi":"10.11606/t.6.2019.tde-27082019-151157","title":"Tecnologias de apoio à implementação do guia alimentar para a população brasileira na atenção básica","year":2019,"lang":"pt","type":"dissertation","venue":"","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; International Development Research Centre","keywords":"Content validity; Face validity; Scale (ratio); Construct validity; Confirmatory factor analysis; Psychology; Reliability (semiconductor); Construct (python library); Psychological intervention; Medical education; Content analysis; Health professionals; Test (biology); Promotion (chess); Health care; Applied psychology; Medicine; Nursing; Computer science; Psychometrics; Clinical psychology; Structural equation modeling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03103602,0.0008519206,0.0004586597,0.004989277,0.003441185,0.005124358,0.002380171,0.001918403,0.03043777],"category_scores_gemma":[0.08531547,0.000769716,0.001172913,0.003936592,0.001855667,0.002566634,0.003796971,0.001609539,0.004510467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006573659,"about_ca_system_score_gemma":0.02769212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02777278,"about_ca_topic_score_gemma":0.04321602,"domain_scores_codex":[0.9754118,0.01413166,0.00175301,0.002092489,0.005162977,0.001447999],"domain_scores_gemma":[0.9351789,0.02827699,0.007245409,0.01106594,0.01463565,0.00359699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006072791,0.001533881,0.03842213,0.005267905,0.00009562597,0.0006448533,0.02371746,0.0009373241,0.007080997,0.01383788,0.01691516,0.8909395],"study_design_scores_gemma":[0.001019305,0.005602506,0.3250015,0.01400988,0.00112607,0.002229223,0.06171455,0.007343811,0.01839983,0.02942985,0.5337,0.0004234525],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3802023,0.00518905,0.1409262,0.052259,0.002120038,0.02987084,0.003759353,0.005794989,0.3798783],"genre_scores_gemma":[0.6561183,0.004241975,0.293269,0.002490472,0.0004143988,0.008411743,0.0008223191,0.0005224213,0.03370938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03103602,"threshold_uncertainty_score":0.1641361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05582116196947989,"score_gpt":0.3638545699774776,"score_spread":0.3080334080079977,"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."}}