{"id":"W7162094699","doi":"10.82308/28594","title":"Investigating food environment disparities using digital supermarket transactions for fruits and vegetables in Quebec","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Promotion (chess); Food consumption; Face (sociological concept)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001506012,0.0002618406,0.000337633,0.001551799,0.001891842,0.001436168,0.0007857793,0.0004224336,0.00586906],"category_scores_gemma":[0.004362622,0.0001930552,0.0005617464,0.004927989,0.0005833905,0.0007908518,0.0007728246,0.0005580341,0.0003081591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0157283,"about_ca_system_score_gemma":0.01417047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.987316,"about_ca_topic_score_gemma":0.9942241,"domain_scores_codex":[0.9992424,0.0001310451,0.0000578701,0.0001638303,0.0002059748,0.0001988609],"domain_scores_gemma":[0.9961661,0.0006119173,0.0007995915,0.0002083716,0.001839299,0.0003747588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010851,0.00004867738,0.9751213,0.000268661,0.0001823595,0.0001133798,0.003190479,0.000214573,0.0003243134,0.0006016658,0.003344662,0.01648881],"study_design_scores_gemma":[0.000004892514,0.00001764088,0.9914669,0.0001726023,0.00005718349,0.00002202817,0.003137501,0.0004473152,0.00009332372,0.00006147655,0.00450709,0.00001200354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724802,0.002627136,0.0009456189,0.001163494,0.0000394439,0.0001219494,0.01395039,0.00001658934,0.00865528],"genre_scores_gemma":[0.9898244,0.001056699,0.000852114,0.0003100669,0.000008927254,0.00009297935,0.003812517,0.00001070136,0.004031534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157283,"threshold_uncertainty_score":0.1141174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807598346540319,"score_gpt":0.1932073895389939,"score_spread":0.1751314060735907,"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."}}