{"id":"W3011509082","doi":"10.1016/j.appet.2020.104656","title":"Portion size selection in children: Effect of sensory imagery for snacks varying in energy density","year":2020,"lang":"en","type":"article","venue":"Appetite","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Federación Española de Enfermedades Raras; Agence Nationale de la Recherche","keywords":"Selection (genetic algorithm); Sensory system; Portion size; Energy density; Food science; Psychology; Statistics; Biology; Computer science; Mathematics; Cognitive psychology; Artificial intelligence; Physics","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":[0.0001741313,0.0001239155,0.0003770349,0.00007101252,0.00001886539,0.000004717302,0.00003559373,0.00007908163,0.0000105416],"category_scores_gemma":[0.0003331627,0.0001210917,0.0001001614,0.0003148363,0.00002995631,0.00009361198,0.00003560447,0.0001726452,0.000005327709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006245742,"about_ca_system_score_gemma":0.00002312358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002665002,"about_ca_topic_score_gemma":0.00004492292,"domain_scores_codex":[0.9991025,0.00008456247,0.0002161872,0.0002613944,0.0001479809,0.0001874187],"domain_scores_gemma":[0.9994406,0.00027873,0.00008893992,0.00008456569,0.00003854174,0.00006860148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004513768,0.0006151292,0.7554544,0.0002826718,0.00002918888,0.00001201932,0.00005272708,0.00006722241,0.2409878,0.0001085016,0.00005849209,0.001880425],"study_design_scores_gemma":[0.00163971,0.0004987718,0.7344745,0.0001465604,0.00003219751,0.00001125971,0.000003149051,0.00199413,0.2609331,0.0001567982,0.0000201095,0.00008970054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987665,0.00002901992,0.0002395514,0.0003322065,0.00002625185,0.0003660194,0.000004223403,0.0000418362,0.0001943939],"genre_scores_gemma":[0.9992193,0.00001482943,0.0001714043,0.0003006028,0.0002089769,0.00002009295,0.00001965974,0.00001975072,0.00002537273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02097995,"threshold_uncertainty_score":0.4937976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007877713065291166,"score_gpt":0.2450186160583446,"score_spread":0.2371409029930534,"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."}}