{"id":"W3127578276","doi":"10.2196/23870","title":"Evaluating Closures of Fresh Fruit and Vegetable Vendors During the COVID-19 Pandemic: Methodology and Preliminary Results Using Omnidirectional Street View Imagery","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Vendor; Signage; Advertising; Geography; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01083063,0.0001606564,0.0004884457,0.0004076961,0.0005950298,0.00008590717,0.0002014122,0.0001377808,0.00009009859],"category_scores_gemma":[0.009264014,0.0001466992,0.00007443232,0.0006308313,0.000466873,0.0004489813,0.0005744284,0.0006135167,0.000007716942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893609,"about_ca_system_score_gemma":0.000396718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000905183,"about_ca_topic_score_gemma":0.0001324038,"domain_scores_codex":[0.996969,0.001009547,0.0008036649,0.0004645022,0.0002180374,0.0005351758],"domain_scores_gemma":[0.993458,0.005389972,0.0003984702,0.0003626158,0.0002149641,0.0001759721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002769776,0.0003838337,0.8838112,0.005084192,0.0007366621,0.00008894589,0.06205227,0.004016897,0.01890486,0.01084272,0.002481047,0.008827642],"study_design_scores_gemma":[0.00977526,0.00163183,0.8232139,0.0006238998,0.00005904143,0.0009992343,0.01037506,0.03837728,0.01105825,0.08254588,0.02024204,0.001098356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874104,0.009572809,0.0005841824,0.0007759114,0.0001113805,0.0004386149,0.0003125872,0.00002085665,0.0007732768],"genre_scores_gemma":[0.9963693,0.001400707,0.001693795,0.0001835037,0.00007877458,0.00006151383,0.00001626282,0.00002013983,0.0001759904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07170315,"threshold_uncertainty_score":0.9990814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4584203545624356,"score_gpt":0.4925455896470404,"score_spread":0.0341252350846048,"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."}}