{"id":"W2789113431","doi":"10.5539/res.v10n1p46","title":"Candidate Selection Methods, Cooperation and Legislative Effectiveness","year":2018,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Parliament; Legislation; Politics; Selection (genetic algorithm); Categorization; Political science; Compromise; Variable (mathematics); Public administration; Business; Law and economics; Law; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.05126465,0.0004587692,0.0008540868,0.007191575,0.001688895,0.002354956,0.001024293,0.0006180745,0.0049754],"category_scores_gemma":[0.08358172,0.0002485226,0.0006994301,0.008400056,0.001430469,0.001583442,0.001787934,0.0005755923,0.000901117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053493,"about_ca_system_score_gemma":0.001637727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396321,"about_ca_topic_score_gemma":0.002445616,"domain_scores_codex":[0.9483473,0.0375646,0.00286312,0.002551229,0.007373465,0.001300242],"domain_scores_gemma":[0.8392527,0.1253566,0.02174384,0.004837625,0.006912393,0.001896773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005862226,0.000458147,0.6457568,0.001443395,0.0007571915,0.0002333174,0.01321131,0.002199603,0.001091139,0.01589878,0.002876042,0.315488],"study_design_scores_gemma":[0.0001876531,0.0008700827,0.9288104,0.0009732164,0.0004409674,0.0007040042,0.01699842,0.005328236,0.002212542,0.007972139,0.03540867,0.0000936587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178725,0.00728173,0.02782797,0.001400397,0.0001432222,0.0004962749,0.0004209249,0.00006190908,0.04449504],"genre_scores_gemma":[0.9886678,0.001027546,0.007417083,0.0001236954,0.0001067908,0.0002395287,0.0003102632,0.00001712565,0.002090108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05126465,"threshold_uncertainty_score":0.2711167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113375033192345,"score_gpt":0.4970562382274514,"score_spread":0.3857187349082169,"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."}}