{"id":"W4398890561","doi":"10.7910/dvn/qtoiqf/ymjk1r","title":"lynchingCoverageContent.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Legitimation; Publicity; Replication (statistics); Political science; Law; Public opinion; Statistics; Mathematics","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":[0.0008849499,0.002212958,0.001572811,0.005702164,0.0009261602,0.003747987,0.002862691,0.002389306,0.3073363],"category_scores_gemma":[0.007842499,0.0009586562,0.001341727,0.01013274,0.0005472776,0.002290499,0.00259718,0.001829779,0.2519463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738152,"about_ca_system_score_gemma":0.002260307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504984,"about_ca_topic_score_gemma":0.03715609,"domain_scores_codex":[0.9991938,0.0001220521,0.0001069379,0.0002262152,0.0001825346,0.0001684907],"domain_scores_gemma":[0.9970257,0.000977807,0.0003046104,0.0007248,0.0005660516,0.0004010571],"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":[0.00002467054,0.000008250974,0.0003350048,0.0004311849,0.00001472068,0.000008714442,0.00001480747,0.00007196775,0.00003711304,0.0003457326,0.9976272,0.001080595],"study_design_scores_gemma":[0.000194153,0.00001056309,0.001726812,0.0002928684,0.00001950218,0.00003023476,0.00004761343,0.000161681,0.0001896119,0.001018934,0.9962883,0.00001971057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003823089,0.00004362068,0.00002352578,0.0000592549,0.00001696862,0.000005093802,0.9987941,0.000274537,0.0007446008],"genre_scores_gemma":[0.0003776363,0.00008613055,0.0001207768,0.00009089428,0.00001432734,0.00005400104,0.9978893,0.0002099408,0.001156989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6926637,"threshold_uncertainty_score":0.9880008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366729193748507,"score_gpt":0.2811706280364144,"score_spread":0.2575033360989293,"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."}}