{"id":"W657675557","doi":"10.5860/choice.42-6764","title":"Steps toward making every vote count: electoral system reform in Canada and its provinces","year":2005,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electoral reform; Electoral system; Proportional representation; Devolution (biology); Public administration; Representation (politics); Politics; Political science; Political economy; Sociology; Law; Democracy","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":[0.007583041,0.000479517,0.0007464219,0.005072988,0.01025086,0.01054196,0.003736824,0.002484527,0.01148469],"category_scores_gemma":[0.02059619,0.0003756203,0.0005203742,0.01020173,0.003204374,0.002959712,0.002668331,0.003123675,0.0009769254],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1824932,"about_ca_system_score_gemma":0.4231115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960535,"about_ca_topic_score_gemma":0.9967445,"domain_scores_codex":[0.989092,0.001742874,0.0002870152,0.0003724231,0.004969227,0.003536478],"domain_scores_gemma":[0.982348,0.001461089,0.0004595135,0.0003976806,0.01141066,0.003923067],"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":[0.0001185126,0.0001211639,0.01891776,0.001054992,0.00006922687,0.000189487,0.005399699,0.003544993,0.000257578,0.09953513,0.5772858,0.2935056],"study_design_scores_gemma":[0.00006628771,0.00006246759,0.07229103,0.001108892,0.00006618115,0.00003727817,0.01369715,0.001538528,0.0005552209,0.008509304,0.9019594,0.0001081375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.06758702,0.05625039,0.00316601,0.5338464,0.00480824,0.001224915,0.005231996,0.0006898292,0.3271952],"genre_scores_gemma":[0.7643898,0.03543708,0.01275376,0.02843544,0.001284631,0.0005995522,0.005207527,0.0002305465,0.1516616],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8175068,"threshold_uncertainty_score":0.948192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434400056459959,"score_gpt":0.3282432959589218,"score_spread":0.2848032903129259,"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."}}