{"id":"W3019312726","doi":"10.3386/w27042","title":"Which Retail Outlets Generate the Most Physical Interactions?","year":2020,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visitor pattern; Business; Social distance; Marketing; Perspective (graphical); Contagious disease; Advertising; Geography; Coronavirus disease 2019 (COVID-19); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004344137,0.0002486185,0.0004836296,0.001682251,0.0008528885,0.002474592,0.0004440852,0.0007192602,0.01085624],"category_scores_gemma":[0.002974956,0.0002579152,0.0004187065,0.001555555,0.0006938355,0.001634518,0.001002135,0.0003679854,0.001699967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003158422,"about_ca_system_score_gemma":0.000246127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893936,"about_ca_topic_score_gemma":0.004119899,"domain_scores_codex":[0.9994451,0.0001469707,0.00004245964,0.0001148004,0.0001169045,0.0001338227],"domain_scores_gemma":[0.9975548,0.0005935477,0.00101365,0.0001327533,0.0002469216,0.000458401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002297007,0.0001934845,0.941529,0.0002682125,0.000145036,0.0004213193,0.00361579,0.0001912986,0.001886057,0.00205554,0.003536297,0.04592821],"study_design_scores_gemma":[0.0000186085,0.0001526918,0.9709378,0.0001428955,0.0000590798,0.0009713623,0.01869024,0.0006018019,0.0003919639,0.002596828,0.00541107,0.00002555616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771774,0.0006729239,0.0009351528,0.001312841,0.00005013301,0.00005460628,0.001022005,0.00003689191,0.01873816],"genre_scores_gemma":[0.9969051,0.0004501593,0.0007572406,0.0001878067,0.00004902407,0.00002026467,0.0004563637,0.00002245141,0.001151499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085624,"threshold_uncertainty_score":0.03631777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4386879048523071,"score_gpt":0.4927010608512829,"score_spread":0.05401315599897583,"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."}}