{"id":"W2889756309","doi":"10.1145/3264910","title":"The Role of Urban Mobility in Retail Business Survival","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Cambridge Trust; National Research Foundation Singapore; Agency for Science, Technology and Research; Gates Cambridge Trust; Alfred P. Sloan Foundation; National Research Foundation; York University; Alan Turing Institute; Gordon and Betty Moore Foundation","keywords":"Odds; Neighbourhood (mathematics); Discriminative model; Business; Occupancy; Vitality; Globe; Marketing; Computer science; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214106,0.000129676,0.0002677185,0.0001317298,0.0005770279,0.00006573619,0.001544186,0.0001436903,0.00002093856],"category_scores_gemma":[0.00600513,0.00008075187,0.00007970112,0.0009389519,0.002394797,0.0002239561,0.0005178496,0.0002835199,0.00000296383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102538,"about_ca_system_score_gemma":0.00008167487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00344071,"about_ca_topic_score_gemma":0.00323255,"domain_scores_codex":[0.9987524,0.00004610274,0.0003307764,0.0002956649,0.0003098735,0.0002651461],"domain_scores_gemma":[0.9978083,0.0005868991,0.0003186004,0.0004680503,0.000799029,0.0000190617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001235277,0.001516863,0.4454763,0.0002513207,0.0002836898,4.55833e-7,0.03995498,0.00003659362,0.06704229,0.06138612,0.0008466194,0.3819695],"study_design_scores_gemma":[0.0003348205,0.0006134413,0.04338232,0.0005167035,0.00006284015,6.682678e-7,0.3128356,0.000212084,0.4678968,0.1551072,0.01873266,0.0003048232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886863,0.0004860763,0.000001219961,0.001582671,0.00009696634,0.0004232904,0.000004087066,0.00008546054,0.00863393],"genre_scores_gemma":[0.9990585,0.0004331372,0.00002709242,0.00001122766,0.00004537489,0.0001279838,1.809048e-7,0.000006968619,0.0002894647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.402094,"threshold_uncertainty_score":0.8823729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264676236849601,"score_gpt":0.2745095862352804,"score_spread":0.2618628238667844,"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."}}