{"id":"W4398862080","doi":"10.7910/dvn/s3hacj/eepqon","title":"tables_fig_ind_unweighted.R","year":2020,"lang":"ca","type":"dataset","venue":"Harvard Dataverse","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Persuasion; Deliberation; Replication (statistics); Voter model; Political science; Computer science; Geography; Statistics; Mathematics; Psychology; Social psychology; 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":[0.002231058,0.002414457,0.002264025,0.005490576,0.001152542,0.004127759,0.00427996,0.001886799,0.4501442],"category_scores_gemma":[0.02714459,0.001344422,0.00197014,0.01100864,0.0006336152,0.002396916,0.002898479,0.002457699,0.2516021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704032,"about_ca_system_score_gemma":0.003222587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267972,"about_ca_topic_score_gemma":0.03121246,"domain_scores_codex":[0.9978891,0.0004026773,0.0002533933,0.0007246429,0.0004052413,0.0003249348],"domain_scores_gemma":[0.9906433,0.004140341,0.0007976863,0.00203418,0.001847785,0.0005365995],"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":[0.00002697927,0.000008099163,0.0003499315,0.000524843,0.0000445953,0.000005262531,0.00001068635,0.0001281779,0.00002177517,0.0004820212,0.9971443,0.001253287],"study_design_scores_gemma":[0.0004726277,0.00001515584,0.003842731,0.0005522754,0.00008966585,0.00002822228,0.00006464082,0.000463332,0.0002430634,0.004351188,0.9898205,0.00005652754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003207484,0.00002518229,0.00008538199,0.00004035287,0.00002225488,0.000008392974,0.9988643,0.000354939,0.0005671257],"genre_scores_gemma":[0.001075494,0.00009922122,0.001002367,0.0001092286,0.00003623649,0.0003315759,0.9943532,0.0007828542,0.00220987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5498558,"threshold_uncertainty_score":0.7843025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04139275184384947,"score_gpt":0.3080726966771702,"score_spread":0.2666799448333207,"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."}}