{"id":"W7053638582","doi":"","title":"What is a Meeting? Municipal Councils and the Ontario Ombudsman : Draft","year":2014,"lang":"en","type":"report","venue":"Scholarship@Western (Western University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Municipal council; State (computer science); Power (physics); Local government; Private sector; Government (linguistics)","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":[0.01677979,0.001095644,0.0008070578,0.002724593,0.02197069,0.01801444,0.004790307,0.01315383,0.02893633],"category_scores_gemma":[0.05080629,0.001798549,0.0008607411,0.004959411,0.007561734,0.005823846,0.004260985,0.009576339,0.009505549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1310983,"about_ca_system_score_gemma":0.2936955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667042,"about_ca_topic_score_gemma":0.9756909,"domain_scores_codex":[0.9740134,0.00235346,0.00166317,0.001828906,0.0143365,0.00580449],"domain_scores_gemma":[0.9499213,0.006683945,0.001728922,0.002079278,0.03105301,0.008533483],"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":[0.00001654309,0.00001719536,0.001070229,0.0001078916,0.000004457491,0.0001226388,0.002398615,0.00008733383,0.0000973554,0.05418587,0.9339464,0.007945492],"study_design_scores_gemma":[0.000008153182,0.000005085109,0.003112019,0.0001669597,0.000004864338,0.00001689851,0.001573956,0.00004368883,0.00005782985,0.001209936,0.9937784,0.00002213046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006264698,0.0126479,0.001756552,0.5432175,0.01186338,0.001601942,0.007098434,0.0002582454,0.4152914],"genre_scores_gemma":[0.06228684,0.01105017,0.00311424,0.05672971,0.003387756,0.001107712,0.004647907,0.0003594643,0.8573161],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1310983,"threshold_uncertainty_score":0.9511892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0799672638511025,"score_gpt":0.2869814106834772,"score_spread":0.2070141468323747,"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."}}