{"id":"W4398492735","doi":"10.7910/dvn/hjdumy","title":"Replication Data for: Projection in the Face of Centrism: Voter Inferences about Candidates’ Party Affiliation in Low-information Contexts","year":2023,"lang":"en","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":"","funders":"","keywords":"Replication (statistics); Projection (relational algebra); Face (sociological concept); Computer science; Political science; Internet privacy; Psychology; Sociology; Social science; Statistics; Mathematics; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003808782,0.001183219,0.0008901687,0.002027176,0.001393454,0.002300232,0.002666655,0.001676673,0.04238958],"category_scores_gemma":[0.01933747,0.0005014882,0.0009433235,0.003322676,0.0006818774,0.00121105,0.002218339,0.002052991,0.04246838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569072,"about_ca_system_score_gemma":0.0023424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04624915,"about_ca_topic_score_gemma":0.1102047,"domain_scores_codex":[0.9980437,0.0006052963,0.0002030374,0.0004738772,0.0004719257,0.0002020748],"domain_scores_gemma":[0.9912033,0.002159865,0.0008569346,0.003109224,0.002154397,0.0005162886],"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":[0.0002176804,0.0000951111,0.01033759,0.0004333351,0.00006654538,0.00008456162,0.0002036498,0.0004336586,0.0002418614,0.001159766,0.9819168,0.004809399],"study_design_scores_gemma":[0.001898396,0.0001043604,0.06428532,0.0002984731,0.0001053584,0.0002518271,0.0008245683,0.002495395,0.001368083,0.003553581,0.9247255,0.00008906662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004708,0.0001214213,0.0004757433,0.0004878024,0.0001233522,0.0001115696,0.9903885,0.0004855042,0.003098097],"genre_scores_gemma":[0.007750974,0.00004408677,0.001319723,0.0001442503,0.00003081424,0.0005504733,0.9872865,0.00009780797,0.002775442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04624915,"threshold_uncertainty_score":0.1418073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632642567956281,"score_gpt":0.3674912706598978,"score_spread":0.3042270138642698,"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."}}