{"id":"W2086466350","doi":"10.7202/022709ar","title":"The Location of High Knowledge Content Activities in the Canadian Urban System, 1971-1991","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"High tech; Class (philosophy); Content (measure theory); Business; Regional science; Economic geography; Computer science; Geography; Mathematics; Artificial intelligence","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":[0.0004986397,0.0003420155,0.0003303473,0.005981288,0.004416858,0.00245376,0.001424607,0.0004194249,0.004080077],"category_scores_gemma":[0.002981124,0.0002509687,0.0002969701,0.01268807,0.001819527,0.0006491338,0.001780092,0.0004673608,0.0004175396],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07033161,"about_ca_system_score_gemma":0.03922131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972478,"about_ca_topic_score_gemma":0.9990305,"domain_scores_codex":[0.9987246,0.00008085102,0.00003520303,0.0001487099,0.0004185312,0.0005921065],"domain_scores_gemma":[0.9973895,0.0002146795,0.0003750742,0.00009716728,0.001495962,0.0004275456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003892771,0.0001150903,0.8162107,0.000570914,0.0001180554,0.0005868438,0.0214807,0.004976149,0.001586745,0.0120299,0.01913971,0.122796],"study_design_scores_gemma":[0.000005137949,0.00001252527,0.9792858,0.00005719644,0.00001842871,0.00006007407,0.005133769,0.0007306692,0.0002427037,0.0001240457,0.01430214,0.00002747067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961058,0.002121489,0.0004580488,0.001351007,0.00001842693,0.00006698767,0.01339945,0.00004204164,0.02148459],"genre_scores_gemma":[0.9913958,0.0009248038,0.000337683,0.00003697586,0.00000535902,0.00001666496,0.002860141,0.000006753896,0.00441588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9296684,"threshold_uncertainty_score":0.510294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709506787280331,"score_gpt":0.1810043763684574,"score_spread":0.1639093084956541,"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."}}