{"id":"W4310082306","doi":"10.1002/mar.21761","title":"Nutrition labeling, numerosity effects, and vigilance among diet‐sensitive individuals","year":2022,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Numerosity adaptation effect; Vigilance (psychology); Unhealthy food; Psychology; Cognitive psychology; Food labeling; Perception; Covert; Food science; Medicine; Neuroscience; Biology; Endocrinology; Obesity","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":[0.001030667,0.0001121946,0.0002269894,0.00006976346,0.0004025299,0.00001343983,0.0000336596,0.00006166393,0.0000407739],"category_scores_gemma":[0.0001598786,0.0001170951,0.00002972582,0.00010385,0.0001078923,0.00004012197,0.0001324303,0.0003707725,0.000001353736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001250817,"about_ca_system_score_gemma":0.00000722768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000159392,"about_ca_topic_score_gemma":0.000005722123,"domain_scores_codex":[0.998932,0.0002601591,0.0001561599,0.0003369179,0.0001018508,0.0002128868],"domain_scores_gemma":[0.9993562,0.0003407357,0.0000746201,0.0001192093,0.00002783942,0.0000813888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001199753,0.0002542578,0.9533773,0.0006377345,0.0002630603,0.00009213938,0.0005612706,3.940867e-7,0.009800159,0.00007652445,0.000658615,0.03307876],"study_design_scores_gemma":[0.002372111,0.0004348037,0.9912453,0.00025979,0.0002285884,0.0002410828,0.0001571565,0.0001013216,0.0001364932,0.0001269939,0.004536914,0.0001594894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835761,0.0132893,0.00006029485,0.0009778152,0.000194097,0.0003307078,0.00000899842,0.00005236217,0.001510298],"genre_scores_gemma":[0.9964072,0.001061594,0.001023708,0.001289034,0.00006336672,0.00005922774,0.00001627126,0.00001283394,0.00006681888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03786792,"threshold_uncertainty_score":0.4775001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084068779753899,"score_gpt":0.2874282399823165,"score_spread":0.2765875521847775,"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."}}