{"id":"W2900029557","doi":"10.7202/1053510ar","title":"Toronto’s Cartographic Birth Certificate","year":2018,"lang":"en","type":"article","venue":"Ontario History","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Birth certificate; Geography; Genealogy; History; Demography; Sociology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467973,0.0002891311,0.0002255141,0.002789632,0.008584317,0.004009762,0.0008421567,0.000611993,0.04640647],"category_scores_gemma":[0.003836795,0.0002704031,0.0001802168,0.006013629,0.001885697,0.001048079,0.001676067,0.001143834,0.005458933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04442406,"about_ca_system_score_gemma":0.06325889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799096,"about_ca_topic_score_gemma":0.9888765,"domain_scores_codex":[0.9988562,0.0000679462,0.00003369392,0.00008947233,0.0006460521,0.0003065718],"domain_scores_gemma":[0.9966068,0.0002474829,0.0001624919,0.0002757588,0.00206696,0.0006404449],"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":[0.00002459161,0.000006462807,0.006980824,0.0001430795,0.000005905214,0.0004410493,0.01392277,0.0001866055,0.0001977216,0.1320138,0.8014676,0.04460967],"study_design_scores_gemma":[0.000001434743,0.000002116793,0.008713477,0.00004528618,0.00000233796,0.00005311675,0.002031872,0.00004611727,0.00005608626,0.0004103392,0.9886273,0.00001044562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03347087,0.003367461,0.001808449,0.02155288,0.002270156,0.0002079776,0.04499319,0.0004673016,0.8918619],"genre_scores_gemma":[0.281335,0.005926653,0.003168532,0.001679198,0.000373366,0.0001219684,0.01838188,0.0003246818,0.6886887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04640647,"threshold_uncertainty_score":0.3223206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05376039467981186,"score_gpt":0.232829866323041,"score_spread":0.1790694716432291,"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."}}