{"id":"W2066310834","doi":"10.1068/a33214","title":"A Tale of Four Cities: Intrametropolitan Employment Distribution in Toronto, Montreal, Vancouver, and Ottawa – Hull, 1981 – 1996","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Census; Geography; Economic geography; Census tract; Regional science; Spatial distribution; Distribution (mathematics); Cartography; Demography; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002171894,0.000164976,0.0004302039,0.00007985834,0.00008402662,0.00004553438,0.00005648645,0.00008326018,0.0002688148],"category_scores_gemma":[0.000009948896,0.0001883849,0.00005281416,0.00003159443,0.0001199943,0.0002326447,0.00004887309,0.00007978336,0.000005988515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752066,"about_ca_system_score_gemma":0.000002466675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414941,"about_ca_topic_score_gemma":0.004485021,"domain_scores_codex":[0.9989461,0.00001320889,0.0004389451,0.0003708998,0.00001970675,0.0002110812],"domain_scores_gemma":[0.999457,0.00006460871,0.0002364083,0.0001364139,0.000002717535,0.0001028534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003802122,0.0001555871,0.9126771,0.00006452203,0.0001834408,0.00001236349,0.002567668,0.0007868646,0.000004588924,0.07571522,0.00346996,0.004324657],"study_design_scores_gemma":[0.004124549,0.0008575611,0.4964611,0.0001350562,0.00008149869,0.0000220576,0.00839709,0.1353835,0.00004502036,0.0395134,0.3134362,0.001542937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692377,0.0166631,0.0007175146,0.0005256185,0.00006277495,0.0001422106,0.0001687597,0.000007083205,0.01247521],"genre_scores_gemma":[0.9936647,0.004996299,0.0001929772,0.0000632208,0.00004507025,0.00001662264,0.00002858884,0.000009632692,0.0009829242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.416216,"threshold_uncertainty_score":0.9924155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428382035073038,"score_gpt":0.1839866870714662,"score_spread":0.1697028667207358,"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."}}