{"id":"W2972125743","doi":"10.1007/978-3-030-28817-4_5","title":"Modeling of Food Choice","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Food choice; Affect (linguistics); Psychology; Social psychology; Medicine; Communication","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":[0.0004079261,0.0005551337,0.0008475839,0.0003973599,0.0002962516,0.0009053922,0.00168415,0.001119359,0.008556421],"category_scores_gemma":[0.001223386,0.0004080165,0.000989782,0.0005915023,0.0006106063,0.0008806734,0.0005789191,0.0007722364,0.001782604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102804,"about_ca_system_score_gemma":0.0005058412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007729417,"about_ca_topic_score_gemma":0.00533131,"domain_scores_codex":[0.9998504,0.00006439052,0.000004488399,0.00003636632,0.00003005005,0.00001424979],"domain_scores_gemma":[0.9997395,0.0001682674,0.00002157667,0.00002515501,0.00002855401,0.0000169819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002366878,0.00003025451,0.0004614883,0.0000868373,0.00005501389,0.00005967266,0.00004657348,0.6724226,0.0008047225,0.2974715,0.007066548,0.02147116],"study_design_scores_gemma":[0.000003221879,0.000007754477,0.0001718306,0.00000883647,0.000007877577,0.00002734479,0.000007085125,0.9014439,0.000093166,0.09393945,0.004282639,0.000006907487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02025235,0.003288299,0.9030634,0.001326694,0.0004010631,0.00004845564,0.001155494,0.0004102438,0.0700541],"genre_scores_gemma":[0.6118355,0.005728399,0.1511645,0.0005731443,0.0005059329,0.0005376803,0.001619466,0.0004342135,0.2276012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008556421,"threshold_uncertainty_score":0.02862412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058577755232163,"score_gpt":0.2819980025628673,"score_spread":0.176140227039651,"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."}}