{"id":"W7075377896","doi":"","title":"Toronto, the Belfast of Canada: The Orange Order and the Shaping of Municipal Culture","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Orange (colour); Order (exchange); Government (linguistics); Public order","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":[0.001392102,0.0003482012,0.0003949344,0.001145624,0.03014474,0.01494426,0.00146358,0.001822792,0.01572286],"category_scores_gemma":[0.003715134,0.0004537779,0.0002306978,0.004542266,0.02180875,0.003409258,0.003373807,0.002766634,0.0005064479],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1441096,"about_ca_system_score_gemma":0.155548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951388,"about_ca_topic_score_gemma":0.9992047,"domain_scores_codex":[0.9983801,0.0004436446,0.00002944481,0.0001255195,0.0002591008,0.0007623201],"domain_scores_gemma":[0.9973627,0.0005390051,0.0002038774,0.0001629123,0.0008174828,0.0009140149],"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":[0.0001280712,0.00003022262,0.01429008,0.0002169493,0.00003271617,0.0007873319,0.2860453,0.0006638402,0.0004873945,0.5837699,0.07605831,0.03748998],"study_design_scores_gemma":[0.00001297852,0.00001264296,0.03333388,0.0003475034,0.00003414705,0.00009561193,0.4373828,0.0001904052,0.0002580759,0.0185319,0.5097359,0.00006419179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2864902,0.01578169,0.001609339,0.06872745,0.0005300951,0.00006162859,0.001098843,0.0001027727,0.6255979],"genre_scores_gemma":[0.9509544,0.002369507,0.000553781,0.0009787218,0.0000275623,0.00001775709,0.00009736688,0.00007442645,0.04492645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1441096,"threshold_uncertainty_score":0.9927115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353703318340557,"score_gpt":0.2123227545444747,"score_spread":0.1769524227104191,"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."}}