{"id":"W4398799240","doi":"10.7910/dvn/zqehnv","title":"Replication data for: Interpersonal incomparability in citizens’ views of democracy: survey evidence from Ukraine","year":2018,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Sociopolitical Dynamics in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Democracy; Interpersonal communication; Survey data collection; Political science; Sociology; Biology; Social science; Law; Statistics; Mathematics; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003649118,0.0009148677,0.001142203,0.002707399,0.001525226,0.00223026,0.002319624,0.001424508,0.04847049],"category_scores_gemma":[0.02377843,0.0005763411,0.001160601,0.004044121,0.0005944383,0.00117737,0.002602045,0.001793805,0.03574262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306006,"about_ca_system_score_gemma":0.003719715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04912467,"about_ca_topic_score_gemma":0.07330488,"domain_scores_codex":[0.9977309,0.0005332094,0.0003834579,0.0004321988,0.0006119152,0.0003082699],"domain_scores_gemma":[0.9874842,0.002019554,0.001257016,0.003836104,0.004761337,0.000641886],"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":[0.0001822767,0.00008389338,0.01100054,0.0003528518,0.00007584623,0.00006603663,0.0002626988,0.0002493963,0.0001059579,0.000923769,0.9822435,0.004453314],"study_design_scores_gemma":[0.0012961,0.0000976885,0.1416706,0.0007061007,0.0001881649,0.0002299417,0.001784047,0.0007398086,0.0008887,0.002061861,0.8502281,0.000108817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003680057,0.00006854982,0.0002000084,0.0002090172,0.000109956,0.00008869525,0.993609,0.0002000521,0.001834697],"genre_scores_gemma":[0.007793158,0.00004212313,0.0004800674,0.00006418693,0.00002454105,0.0006959487,0.9876604,0.00008214991,0.003157429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04912467,"threshold_uncertainty_score":0.16215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2024709852073523,"score_gpt":0.4288501927272722,"score_spread":0.2263792075199199,"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."}}