{"id":"W4398403421","doi":"10.7910/dvn/4qjw0v/bpxelo","title":"Votefoot survey data for POP.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Voting; Replication (statistics); Politics; Political science; Media studies; Art; Advertising; Sociology; Biology; Law; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0008844101,0.001518932,0.0008336905,0.003729037,0.0008580899,0.002050758,0.001869805,0.001532653,0.0852738],"category_scores_gemma":[0.005020893,0.0005566677,0.0009161566,0.005130342,0.000327619,0.001001405,0.001687215,0.001594072,0.09982739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178676,"about_ca_system_score_gemma":0.002286132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0348888,"about_ca_topic_score_gemma":0.07953004,"domain_scores_codex":[0.9991019,0.0001408086,0.00009751053,0.0001881755,0.0002854412,0.0001861388],"domain_scores_gemma":[0.997923,0.0004571502,0.0002459435,0.0003614045,0.0007292326,0.0002833771],"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":[0.00002566456,0.00001881782,0.0009247677,0.0001135054,0.000008748981,0.000008908743,0.00001629765,0.00007168743,0.00004053226,0.0002804742,0.9973797,0.001111036],"study_design_scores_gemma":[0.0002026702,0.00001697508,0.009392597,0.0001376222,0.00001582508,0.00003974649,0.0001699648,0.0004210377,0.000305496,0.0007018697,0.988573,0.00002325944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002196307,0.00001641965,0.000029533,0.00005372153,0.00002351075,0.000009589158,0.9987866,0.0001124436,0.0007485407],"genre_scores_gemma":[0.0005132628,0.00001796675,0.0001154392,0.00004230116,0.000008449797,0.00005644047,0.9977536,0.00004733512,0.001445205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0852738,"threshold_uncertainty_score":0.2852693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142348798950708,"score_gpt":0.3810134028246161,"score_spread":0.2386646038739081,"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."}}