{"id":"W3118737277","doi":"10.2139/ssrn.3580956","title":"Comparison of British Columbia and Washington State City Powers","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"State (computer science); Political science; Geography; Economic history; History; Computer science","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":[0.0006739699,0.0002498735,0.0004592801,0.003416548,0.002634711,0.004587431,0.0009076815,0.0005004694,0.01447927],"category_scores_gemma":[0.007410699,0.0003071644,0.0003699838,0.006631035,0.00100297,0.001014058,0.001051786,0.000739618,0.001187416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0264102,"about_ca_system_score_gemma":0.01582293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9712776,"about_ca_topic_score_gemma":0.9909385,"domain_scores_codex":[0.998917,0.0001296715,0.00003555005,0.00009901086,0.0004540093,0.0003646687],"domain_scores_gemma":[0.995829,0.000594744,0.0001991541,0.0001819482,0.002727184,0.0004678932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001795022,0.0003119919,0.5789372,0.000282837,0.0006084467,0.001785004,0.005080414,0.04854342,0.001588503,0.1092703,0.1093317,0.1424652],"study_design_scores_gemma":[0.0001307413,0.0001051344,0.8579094,0.0001697714,0.00034506,0.0002170178,0.02222322,0.01517875,0.001646831,0.004980732,0.09699163,0.0001017212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755497,0.0007137788,0.000336988,0.001122029,0.00004684601,0.00004709687,0.00261829,0.00007686648,0.2194884],"genre_scores_gemma":[0.970264,0.0002555049,0.0001849646,0.0001529263,0.0000052633,0.00001577614,0.00118807,0.00003479767,0.02789876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02872241,"threshold_uncertainty_score":0.1916203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536717031648361,"score_gpt":0.2822651702192605,"score_spread":0.2668979999027769,"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."}}