{"id":"W7061615786","doi":"","title":"Provincial-Municipal Relations in Ontario: Approaching an In!ection Point","year":2014,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Point (geometry); Corporate governance; Calculus (dental); Government (linguistics); Key (lock)","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":[0.001582168,0.0001641629,0.0002925397,0.0007875991,0.01853721,0.007332442,0.001306123,0.00231811,0.01426308],"category_scores_gemma":[0.005444333,0.0003527391,0.0003285789,0.003542737,0.004904951,0.0025609,0.004273927,0.002101434,0.0005675022],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1501417,"about_ca_system_score_gemma":0.2104565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932979,"about_ca_topic_score_gemma":0.9985814,"domain_scores_codex":[0.9955705,0.0004736907,0.00008180986,0.0001805356,0.0008633771,0.002830124],"domain_scores_gemma":[0.9942378,0.0005375777,0.0004841862,0.0001493544,0.001468012,0.003123045],"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":[0.0002064009,0.00006168281,0.1076069,0.0004637291,0.00005244356,0.002494503,0.09731016,0.001181378,0.0008593947,0.5130578,0.21245,0.06425563],"study_design_scores_gemma":[0.00003689297,0.00003582623,0.19281,0.0004199462,0.00003683468,0.0003104521,0.1487322,0.0008508323,0.0002850377,0.01754278,0.6388752,0.00006395907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3762437,0.005863398,0.001647544,0.310205,0.0005404604,0.0001410023,0.001948156,0.0001117959,0.303299],"genre_scores_gemma":[0.9274821,0.002104135,0.000591512,0.005250891,0.00009134327,0.0000357555,0.0002553544,0.00003472946,0.06415427],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8498583,"threshold_uncertainty_score":0.9857152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285318703174937,"score_gpt":0.2041017766393265,"score_spread":0.1912485896075771,"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."}}