{"id":"W2515573818","doi":"10.11361/cpij1.41.0.266.0","title":"Legal Systems and Applications of Variance in City of Toronto","year":2006,"lang":"en","type":"article","venue":"Journal of the City Planning Institute of Japan","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Regional science; Geography; 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":[0.001166486,0.0001617922,0.0002964315,0.002075013,0.004154833,0.003262307,0.0008985466,0.0007189616,0.007011444],"category_scores_gemma":[0.01475019,0.0001541876,0.0002915212,0.004729637,0.003485986,0.00103933,0.001626287,0.0007138263,0.0001148363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03649331,"about_ca_system_score_gemma":0.01554362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9212101,"about_ca_topic_score_gemma":0.944293,"domain_scores_codex":[0.9986111,0.0004057159,0.00006333758,0.0001897007,0.0002947956,0.0004354413],"domain_scores_gemma":[0.9924902,0.003179512,0.001494064,0.0003099581,0.00165252,0.0008737491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001143332,0.00005376346,0.3711283,0.0001050636,0.0001156335,0.0006421029,0.03195662,0.01238233,0.0001802807,0.5476497,0.009021031,0.02665086],"study_design_scores_gemma":[0.00003202266,0.00005022722,0.7895089,0.0002355882,0.0001380524,0.000206823,0.07783101,0.02212597,0.0003706225,0.0665352,0.04289334,0.00007216213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100773,0.0009525878,0.003187635,0.004307572,0.00005110662,0.0000360966,0.001096109,0.00004399335,0.08024758],"genre_scores_gemma":[0.9979084,0.00008422637,0.0001580084,0.0000194049,0.000005187767,0.000005297796,0.000063655,0.000003277614,0.001752603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07878995,"threshold_uncertainty_score":0.2647788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897607796668503,"score_gpt":0.2211944308775983,"score_spread":0.2122183529109133,"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."}}