{"id":"W2100901050","doi":"10.3138/infor.46.4.283","title":"Location Science in Canada","year":2008,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field (mathematics); Context (archaeology); Epistemology; Engineering ethics; Management science; Regional science; Data science; Political science; Sociology; Computer science; Geography; Engineering; Archaeology; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002051923,0.0004886918,0.0007191248,0.005489168,0.01031879,0.006844867,0.001327053,0.001181854,0.02219118],"category_scores_gemma":[0.006826379,0.0004417761,0.0005749763,0.01653071,0.00390738,0.002456594,0.003037089,0.001627049,0.001430419],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1448521,"about_ca_system_score_gemma":0.2053432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973775,"about_ca_topic_score_gemma":0.9982963,"domain_scores_codex":[0.9973626,0.0002906477,0.00009133199,0.0003557262,0.001272321,0.000627513],"domain_scores_gemma":[0.9940749,0.0007206028,0.0002782671,0.0002134262,0.004057846,0.0006548376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001468898,0.0000535392,0.03202165,0.001181805,0.00008266731,0.0007029395,0.01321309,0.004492838,0.0009179302,0.4256266,0.1561032,0.3654569],"study_design_scores_gemma":[0.00001476577,0.00003213653,0.07029605,0.0007730458,0.00003800859,0.0001598942,0.01468097,0.002235427,0.0004821695,0.01402973,0.8971425,0.0001153479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1230506,0.08291168,0.01918895,0.1138229,0.002774314,0.0002815179,0.01569223,0.0006167913,0.641661],"genre_scores_gemma":[0.7062714,0.06005066,0.0104954,0.005337824,0.0003974896,0.0001042247,0.003495189,0.0001840793,0.2136637],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1448521,"threshold_uncertainty_score":0.9918503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07461169823267709,"score_gpt":0.2974815384905233,"score_spread":0.2228698402578462,"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."}}