{"id":"W1502775434","doi":"10.1002/0470871334.ch2","title":"Retail Applications of Spatial Modelling","year":2003,"lang":"en","type":"other","venue":"","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Environmental science; Computer science","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":[0.001501474,0.0009989605,0.0008740216,0.001340967,0.0007242261,0.004198213,0.00144574,0.001295492,0.05256203],"category_scores_gemma":[0.00574887,0.0007376633,0.001167736,0.003252565,0.0006932198,0.004516224,0.001898099,0.0009583269,0.009175672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001798149,"about_ca_system_score_gemma":0.001368891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02802207,"about_ca_topic_score_gemma":0.03373329,"domain_scores_codex":[0.9988568,0.0004122825,0.00007744726,0.0001540834,0.0004421155,0.0000573431],"domain_scores_gemma":[0.9972407,0.001064048,0.00007472705,0.0009424024,0.0006043029,0.00007388844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001000082,0.0001154747,0.002571948,0.0001545363,0.00005406117,0.0001894766,0.0003469079,0.154085,0.0006187434,0.4864052,0.08389316,0.2714655],"study_design_scores_gemma":[0.00002496553,0.00001937012,0.0004500746,0.00005879908,0.0000391658,0.0001403154,0.0002144663,0.6440898,0.001465166,0.1850906,0.1683853,0.00002213366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353129,0.001283951,0.7110041,0.003243716,0.0004508001,0.0001159056,0.001780401,0.005271872,0.263318],"genre_scores_gemma":[0.3533423,0.00450427,0.3886774,0.0003727715,0.0002799117,0.0001492136,0.006580062,0.002948531,0.2431455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05256203,"threshold_uncertainty_score":0.1758375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473216068783644,"score_gpt":0.1764182307766247,"score_spread":0.1516860700887883,"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."}}