{"id":"W4398916139","doi":"10.7910/dvn/tpzpio/ada21d","title":"A1996.rds","year":2020,"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":"University of Toronto","funders":"","keywords":"Replication (statistics); Ideology; Political science; Computer science; Statistics; Mathematics; Law","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":[],"category_scores_codex":[0.001734314,0.002992908,0.001843594,0.005638213,0.001220061,0.004365214,0.004082744,0.003026341,0.1573308],"category_scores_gemma":[0.01184439,0.0009644717,0.002406804,0.008732909,0.0007380715,0.001867328,0.002908618,0.002331262,0.2096914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684749,"about_ca_system_score_gemma":0.003048667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02801132,"about_ca_topic_score_gemma":0.04337605,"domain_scores_codex":[0.9983126,0.0004118838,0.0002073046,0.0004384727,0.0003233156,0.0003064605],"domain_scores_gemma":[0.9960766,0.001072861,0.0003732725,0.001203764,0.0007387067,0.0005347468],"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":[0.00004101421,0.00001250045,0.0002829066,0.0003970136,0.00002662125,0.000008386459,0.00001081515,0.0001422213,0.00004036891,0.000356434,0.9977131,0.0009686433],"study_design_scores_gemma":[0.0004456142,0.00002381976,0.002129491,0.0003787309,0.00004538074,0.00004178529,0.00006632287,0.0005447305,0.0002291424,0.002037507,0.9940268,0.00003066766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005175603,0.00005321293,0.00003412455,0.00006610845,0.000034781,0.000006747391,0.9989271,0.0003138196,0.0005123133],"genre_scores_gemma":[0.0002585482,0.00005564883,0.0001487322,0.00006237124,0.00001393226,0.00004894576,0.9987184,0.00009751588,0.000596029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8426692,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593811104021068,"score_gpt":0.3140207693098581,"score_spread":0.2780826582696475,"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."}}