{"id":"W4206052490","doi":"10.11361/journalcpij.41.3.737","title":"Legal Systems and Applications of Variance in City of Toronto,canada","year":2006,"lang":"en","type":"article","venue":"Journal of the City Planning Institute of Japan","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Geography; Regional science; Business; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001390351,0.00023206,0.0004169601,0.003161723,0.01594845,0.006392069,0.001646009,0.001116202,0.01281361],"category_scores_gemma":[0.01229746,0.0003186028,0.0004288829,0.00785224,0.004589272,0.001266133,0.00241921,0.001441615,0.0002927232],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1892806,"about_ca_system_score_gemma":0.1459939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981166,"about_ca_topic_score_gemma":0.9990734,"domain_scores_codex":[0.997517,0.0003485199,0.00009576407,0.0002264347,0.0007128228,0.001099579],"domain_scores_gemma":[0.990469,0.001986574,0.0008257454,0.0002823266,0.004697244,0.001739018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001885778,0.00008608028,0.1799481,0.0001902966,0.0001027478,0.001119605,0.0434934,0.006385563,0.0002253969,0.6416698,0.07923841,0.04735198],"study_design_scores_gemma":[0.00008108866,0.00005134092,0.5459796,0.0006070041,0.0001640189,0.0003481623,0.1013063,0.009033198,0.000616257,0.03664626,0.3049677,0.0001990535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6344191,0.004394268,0.002082368,0.01760893,0.0002037686,0.0001353146,0.004670424,0.0001367017,0.3363491],"genre_scores_gemma":[0.9699453,0.0007463019,0.0004564389,0.0002798878,0.00001525754,0.0000230848,0.0003970083,0.00002277029,0.02811389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892806,"threshold_uncertainty_score":0.9403195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900641141545406,"score_gpt":0.2273480498157948,"score_spread":0.2083416384003408,"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."}}