{"id":"W3169082386","doi":"","title":"Old Institutions, New Solutions: Supporting Independent MPPs in Ontario’s Assembly","year":2020,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Chemistry; Internal medicine; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01976326,0.0005303124,0.0007644278,0.003210358,0.01416527,0.01056071,0.003237659,0.005473551,0.008428011],"category_scores_gemma":[0.04278424,0.0007697454,0.0006416087,0.007060783,0.006237241,0.003305536,0.003347121,0.005362238,0.0007243897],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1804436,"about_ca_system_score_gemma":0.4463157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886755,"about_ca_topic_score_gemma":0.9957973,"domain_scores_codex":[0.9763318,0.002570014,0.0009730587,0.000998641,0.01230485,0.006821639],"domain_scores_gemma":[0.9630075,0.007283335,0.001895984,0.001189202,0.02146142,0.005162545],"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":[0.0002738384,0.00004052337,0.008653961,0.005050883,0.0002014545,0.0003316795,0.01449725,0.0008222199,0.0005366855,0.2484871,0.5959609,0.1251435],"study_design_scores_gemma":[0.00005527788,0.00002297323,0.0210564,0.00186072,0.0001198774,0.00003113262,0.005293048,0.0001761619,0.0002366886,0.00367373,0.967416,0.00005803506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04159176,0.186535,0.00156235,0.4589083,0.007583987,0.0004130458,0.002836767,0.0001248208,0.3004439],"genre_scores_gemma":[0.6447977,0.1209473,0.003564622,0.07796729,0.002394077,0.0004298439,0.001529614,0.0001722373,0.1481973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8195564,"threshold_uncertainty_score":0.9505693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425122789505716,"score_gpt":0.3413440217645475,"score_spread":0.1988317428139759,"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."}}