{"id":"W1977960071","doi":"10.1111/j.1541-0064.2008.00200.x","title":"Aires de marché et choix des destinations de consommation pour les achats réalisés au cours de la semaine – Le cas de la région de Québec","year":2008,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; TRIPS architecture; Geography; Destinations; Competition (biology); Economic geography; Cluster (spacecraft); Order (exchange); Advertising; Welfare economics; Business; Tourism; Economics; Transport engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009338471,0.0003634734,0.000263826,0.0009517836,0.004172576,0.003753477,0.0008395871,0.0008504032,0.0117363],"category_scores_gemma":[0.00330261,0.0002538343,0.0003777299,0.001722605,0.001740931,0.001147289,0.001065745,0.001014635,0.0009447032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01650959,"about_ca_system_score_gemma":0.01270542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9739726,"about_ca_topic_score_gemma":0.9873464,"domain_scores_codex":[0.9987975,0.0003614789,0.00002147759,0.0001278485,0.0002442834,0.0004474199],"domain_scores_gemma":[0.9984233,0.0003342043,0.0002748864,0.00007499011,0.000509047,0.0003834301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006985863,0.0001783917,0.727401,0.0003482917,0.0001597174,0.00426129,0.04022651,0.01022287,0.003349236,0.04127522,0.02688934,0.1449896],"study_design_scores_gemma":[0.00002556559,0.00009127614,0.8655859,0.0002357461,0.00004757751,0.0006706821,0.0491671,0.005563677,0.0004343073,0.001815772,0.07624284,0.0001195993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423264,0.002868371,0.002069217,0.004085172,0.00007689979,0.00003956427,0.001221879,0.00007461426,0.04723797],"genre_scores_gemma":[0.9839953,0.0007370173,0.0007226418,0.0000868631,0.00001636464,0.00001415272,0.00025484,0.00001802491,0.01415478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02602738,"threshold_uncertainty_score":0.119786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434368881307162,"score_gpt":0.2034468053909354,"score_spread":0.1891031165778638,"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."}}