{"id":"W4229334755","doi":"10.1177/01600176221092483","title":"A Multi-Scale Suitability Analysis of Home-Improvement Retail-Store Site Selection for Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Mitacs","keywords":"Metropolitan area; Revenue; Census; Scale (ratio); Geography; Economies of agglomeration; Site selection; Competition (biology); Business; Transport engineering; Computer science; Cartography; Population; Ecology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009467752,0.0004305634,0.0003976827,0.002740045,0.001494336,0.001529543,0.0008758261,0.0002780668,0.00274875],"category_scores_gemma":[0.004144582,0.0002749859,0.0008885789,0.007446262,0.0007011807,0.0006044261,0.001185261,0.0003258419,0.000390911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01502771,"about_ca_system_score_gemma":0.01288118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.97779,"about_ca_topic_score_gemma":0.9916213,"domain_scores_codex":[0.998992,0.00009172546,0.00004942445,0.0001469825,0.0004728866,0.0002469835],"domain_scores_gemma":[0.9953928,0.0006178721,0.0003813471,0.0002378926,0.002818832,0.0005511623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001177748,0.0000487759,0.9607813,0.0001370894,0.0001514018,0.0003234776,0.001356592,0.009891026,0.001174091,0.0007875678,0.006348063,0.01888286],"study_design_scores_gemma":[0.000006696033,0.00003880002,0.9701872,0.00002267569,0.00002895166,0.00005022542,0.003672873,0.02223259,0.000232201,0.000186432,0.00331459,0.00002675768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766049,0.0001462779,0.003110528,0.0002281212,0.000009957634,0.0001643614,0.01508161,0.00009568071,0.004558609],"genre_scores_gemma":[0.9851958,0.00008529654,0.003194211,0.00002284691,0.000003493911,0.00006102279,0.008469004,0.00003329682,0.00293503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02221,"threshold_uncertainty_score":0.1090342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854305384229825,"score_gpt":0.2500485405628704,"score_spread":0.2115054867205722,"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."}}