{"id":"W3006441991","doi":"10.1016/j.healthplace.2020.102291","title":"Google-truthing to assess hot spots of food retail change: A repeat cross-sectional Street View of food environments in the Bronx, New York","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Liberian dollar; Business; Government (linguistics); Geography; Marketing; Environmental health; Advertising; Agricultural economics; Medicine; Finance; Economics","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":[0.000255181,0.0001957256,0.0002289839,0.001594804,0.0004215926,0.000725829,0.0003934589,0.000317355,0.00527928],"category_scores_gemma":[0.0008719861,0.0002515918,0.00033241,0.002160145,0.0001518948,0.0008972026,0.0008444336,0.0004009268,0.001663616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378045,"about_ca_system_score_gemma":0.0006310227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1477965,"about_ca_topic_score_gemma":0.4011445,"domain_scores_codex":[0.9998624,0.0000252838,0.00001212964,0.00002958528,0.00003862028,0.00003188205],"domain_scores_gemma":[0.9994196,0.0000793822,0.0001665231,0.0000480592,0.0001896487,0.00009679695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009924912,0.0001530315,0.9764475,0.00005783367,0.00006592623,0.0001053535,0.002249684,0.000151202,0.0007714915,0.0001098675,0.00892406,0.01086474],"study_design_scores_gemma":[0.000004040347,0.00002898629,0.9950076,0.00001212457,0.00001048763,0.00003843566,0.00263498,0.0002702748,0.00007959763,0.00002009751,0.001887365,0.000005888618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822811,0.00008405268,0.0002351493,0.0001422121,0.00001617873,0.00009283796,0.01402996,0.00004549566,0.003072985],"genre_scores_gemma":[0.9739162,0.0002694012,0.002387004,0.0001041292,0.000036085,0.0003591449,0.01670416,0.00004552271,0.006178428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1477965,"threshold_uncertainty_score":0.2938725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2406190824782569,"score_gpt":0.3297792700436687,"score_spread":0.08916018756541183,"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."}}