{"id":"W4398669282","doi":"10.7910/dvn/ioobmk/ppvuiv","title":"party_voter_experiment_psrm.do","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"European and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Voter turnout; Political science; Voting; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003460375,0.001251658,0.00124348,0.00269721,0.0008448042,0.002317437,0.003073765,0.001926273,0.3488015],"category_scores_gemma":[0.01915569,0.001069081,0.001185742,0.004369728,0.0005498587,0.001394487,0.002172744,0.001937593,0.2045047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182744,"about_ca_system_score_gemma":0.00276468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324701,"about_ca_topic_score_gemma":0.02522198,"domain_scores_codex":[0.9975455,0.0007122961,0.0003060811,0.000529355,0.0004669154,0.000439815],"domain_scores_gemma":[0.988484,0.004331614,0.001398843,0.003342552,0.001741627,0.0007013673],"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":[0.00006842434,0.0000204233,0.0009229018,0.0002364963,0.00002466588,0.000006357418,0.0000100923,0.000159683,0.00002616513,0.0006129703,0.9965906,0.001321246],"study_design_scores_gemma":[0.001228252,0.00006511495,0.006695085,0.0003433581,0.00006828975,0.00003493366,0.00007544309,0.0005588703,0.0005413927,0.002348785,0.9880033,0.00003724351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001152178,0.00001499914,0.0001135618,0.00008616055,0.00002350584,0.00003273393,0.9980837,0.0002426654,0.001287553],"genre_scores_gemma":[0.002224943,0.00004735128,0.0006690672,0.0002282998,0.00004436942,0.0007514014,0.9886405,0.00035977,0.007034295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6511985,"threshold_uncertainty_score":0.9288557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332370852120225,"score_gpt":0.3231506782301649,"score_spread":0.2798269697089626,"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."}}