{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003009877,0.00005655449,0.0002121846,0.00001736879,0.0002694989,0.00001052416,0.00003194251,0.0000100013,0.00001606432],"category_scores_gemma":[0.001291033,0.00004247246,0.00002221077,0.0001908387,0.000286677,0.0001029373,0.00002155497,0.00003076719,0.00001811738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193083,"about_ca_system_score_gemma":0.00002183446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005520495,"about_ca_topic_score_gemma":0.0007897053,"domain_scores_codex":[0.996448,0.003065758,0.0001836647,0.0001060146,0.00008538177,0.000111193],"domain_scores_gemma":[0.9991652,0.0002511786,0.00008802848,0.00004586572,0.000414868,0.00003483009],"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":[0.00007306839,0.000159801,0.03460753,0.02101036,0.0007844738,0.000003092703,0.03419756,0.0000015016,0.01221095,0.6072867,0.01301291,0.2766521],"study_design_scores_gemma":[0.0006075982,0.001514478,0.09056008,0.02629368,0.0004978785,0.000003708208,0.0008116688,0.00004198821,0.006890872,0.002287061,0.8698656,0.0006253786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1853062,0.4320449,0.009768736,0.004901309,0.001322509,0.003038914,0.0000126299,0.0002021258,0.3634027],"genre_scores_gemma":[0.9770496,0.02168575,0.0004627926,0.000127167,0.0003348809,0.000009804524,9.802427e-7,0.000005857455,0.0003231321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8568527,"threshold_uncertainty_score":0.2072795,"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."}}