{"id":"W6969434005","doi":"10.5683/sp2/quxa2a","title":"Replication Data for: Contestability, Overcrowding and Electoral competition in Majoritarian Systems","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Competition (biology); Replication (statistics); Overcrowding; Politics; Circulation (fluid dynamics)","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":[0.00133298,0.001209248,0.0009688991,0.002882775,0.001217165,0.002298437,0.002986361,0.001482333,0.0376447],"category_scores_gemma":[0.008219374,0.0006021412,0.0009908718,0.005910836,0.000617886,0.000729479,0.0016124,0.001620909,0.02831755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004014825,"about_ca_system_score_gemma":0.008003335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5687083,"about_ca_topic_score_gemma":0.6751927,"domain_scores_codex":[0.9988827,0.000123985,0.00009719746,0.0002170145,0.0004201498,0.0002590173],"domain_scores_gemma":[0.9941242,0.0006017589,0.0006560527,0.00141273,0.002543008,0.0006623219],"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":[0.0001209512,0.00004299155,0.006562936,0.000273537,0.00005410579,0.00004012167,0.00008074442,0.0007870135,0.0001183586,0.0009624817,0.988202,0.002754746],"study_design_scores_gemma":[0.0005603867,0.00004578629,0.08072285,0.0002555564,0.00005533799,0.0001121208,0.0004054348,0.001776604,0.0005849103,0.001461358,0.9139317,0.00008808997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008570199,0.00004405521,0.00006037935,0.00007846735,0.00002031575,0.00001590635,0.998076,0.000146686,0.0007012559],"genre_scores_gemma":[0.002665964,0.00002900072,0.0001779272,0.00002673354,0.000008842739,0.00005062154,0.995824,0.00003231564,0.00118467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5687083,"threshold_uncertainty_score":0.8676633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07822817356179791,"score_gpt":0.3281512564941751,"score_spread":0.2499230829323772,"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."}}