{"id":"W4386067518","doi":"10.2196/49092","title":"Animated Videos Based on Food Processing for Guidance of Brazilian Adults: Validation Study","year":2023,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Scripting language; Food processing; Multimedia; Computer science; Production (economics); Consumption (sociology); Process (computing); Population; Index (typography); World Wide Web; Medicine; Food science; Environmental health; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006607379,0.0007791644,0.0005213567,0.001929901,0.0006412779,0.0005678088,0.0007498487,0.0007921892,0.001483251],"category_scores_gemma":[0.0275177,0.0003778578,0.0009248348,0.0008394212,0.0007038258,0.0008076145,0.0009275029,0.0006040806,0.0002943001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351946,"about_ca_system_score_gemma":0.002062466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645493,"about_ca_topic_score_gemma":0.008216619,"domain_scores_codex":[0.9977946,0.001222154,0.0002034881,0.0002336512,0.0003720063,0.0001739773],"domain_scores_gemma":[0.9871526,0.007041249,0.001337887,0.000640304,0.003375939,0.000451989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002155556,0.02671073,0.2181101,0.01070457,0.0003153647,0.004190631,0.1388754,0.00357332,0.03264694,0.001851078,0.005752995,0.5551134],"study_design_scores_gemma":[0.001958142,0.03022088,0.7427793,0.008005828,0.001080318,0.00367851,0.07147466,0.01904763,0.03095359,0.001763446,0.08860174,0.0004359402],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863803,0.0003093031,0.003777784,0.0001144206,0.00003385796,0.006054473,0.0005065076,0.00004507638,0.002778273],"genre_scores_gemma":[0.9389364,0.001465527,0.04195117,0.0003127794,0.00005928436,0.01367124,0.001667099,0.00004098162,0.001895449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006607379,"threshold_uncertainty_score":0.03494358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089385496858751,"score_gpt":0.4973920257275281,"score_spread":0.388453476041653,"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."}}