{"id":"W7106800069","doi":"10.14288/cjur.v7i3.196047","title":"All-you-can-eat in reality: You eat what you choose","year":2021,"lang":"en","type":"article","venue":"Open Collections","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Choice architecture; Consistency (knowledge bases); Set (abstract data type); Consumption (sociology); Payment; Quality (philosophy); Nudge theory; Government (linguistics)","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":[0.001367491,0.0004097281,0.0003281982,0.0002821285,0.001216996,0.002014161,0.0003606646,0.0007844091,0.02299143],"category_scores_gemma":[0.002900571,0.0002117557,0.0004368494,0.0004336747,0.00109541,0.002111922,0.001294403,0.001124133,0.00349887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005555784,"about_ca_system_score_gemma":0.0004415517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003790438,"about_ca_topic_score_gemma":0.006453808,"domain_scores_codex":[0.9991156,0.0003425248,0.00004802731,0.000159043,0.0002209237,0.0001138181],"domain_scores_gemma":[0.9988177,0.0002779263,0.0002586208,0.0001730304,0.0002068742,0.0002658111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00534256,0.004381971,0.341302,0.003673367,0.0005938533,0.001408391,0.02524608,0.001170376,0.05152358,0.05774865,0.06246959,0.4451395],"study_design_scores_gemma":[0.0002853895,0.002664621,0.5904773,0.0009928892,0.0004650029,0.001382524,0.04130502,0.004009119,0.01190279,0.02284439,0.3230808,0.0005901082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758957,0.001263412,0.01422695,0.004870711,0.0005513349,0.0002726525,0.001629228,0.0002969756,0.1009931],"genre_scores_gemma":[0.956264,0.001054658,0.01279214,0.001794308,0.00006375676,0.000240725,0.0008253055,0.0000966717,0.02686843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299143,"threshold_uncertainty_score":0.07691395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05814168942569284,"score_gpt":0.3367860229536198,"score_spread":0.2786443335279269,"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."}}