{"id":"W6947115779","doi":"10.3886/e108642v1","title":"Maps of North America: Canadian 1996 Census Divisions and American 1990 Commuting Zones","year":2019,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Census; Population; Demographic analysis; Metropolitan area; Population statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007469378,0.001897289,0.001409931,0.008704885,0.002098387,0.003041218,0.003212156,0.0007844465,0.09846801],"category_scores_gemma":[0.006696638,0.0009597419,0.001116285,0.03617278,0.000507864,0.001154944,0.00158121,0.00162004,0.05437863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01391114,"about_ca_system_score_gemma":0.0305777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9610973,"about_ca_topic_score_gemma":0.9704503,"domain_scores_codex":[0.9986835,0.00008818898,0.0001062999,0.0002486988,0.0004869917,0.0003861838],"domain_scores_gemma":[0.9941413,0.0004298449,0.0003401018,0.0005770154,0.004167728,0.0003440993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009802136,0.000003472321,0.0004902716,0.0001229499,0.00000947542,0.0000068458,0.00002851993,0.0001052298,0.00001125319,0.0004477852,0.9974599,0.001304401],"study_design_scores_gemma":[0.00005040486,0.000002309067,0.01235306,0.0002264731,0.00002000011,0.0000180857,0.000200427,0.0002193082,0.0001153445,0.0005554215,0.9862068,0.00003233741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005204479,0.0000166054,0.00002303921,0.00002938851,0.000007439726,0.000005595907,0.9987356,0.00008326106,0.001046917],"genre_scores_gemma":[0.0005151434,0.00009001967,0.0003538075,0.00002366082,0.000004716774,0.00006639242,0.9964793,0.00009182938,0.002375169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09846801,"threshold_uncertainty_score":0.3294083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186489400235458,"score_gpt":0.2973779365973496,"score_spread":0.245513042594995,"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."}}