{"id":"W4398890718","doi":"10.7910/dvn/qtoiqf/ygzqa3","title":"35513-0001-Data.rda","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; Political science; Replication (statistics); Law; Public opinion; Mathematics; Statistics","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":[0.001575277,0.00223302,0.001713206,0.004670743,0.001082375,0.00360051,0.003680243,0.002420928,0.2609137],"category_scores_gemma":[0.01169932,0.0009307598,0.001329597,0.008229615,0.0006382655,0.001916811,0.002659497,0.002095523,0.2929275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800983,"about_ca_system_score_gemma":0.002377879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02793561,"about_ca_topic_score_gemma":0.03778643,"domain_scores_codex":[0.9986921,0.0002891451,0.0001432999,0.0003909224,0.0002639869,0.0002206103],"domain_scores_gemma":[0.9964051,0.001101847,0.0003084177,0.001032019,0.0006779981,0.0004745977],"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":[0.00003149863,0.000009229889,0.0003161704,0.0002261676,0.00001591817,0.00000560609,0.00001098479,0.0001068769,0.00002844652,0.0004097946,0.9979125,0.0009267617],"study_design_scores_gemma":[0.0002582739,0.00001252762,0.001710593,0.0002244018,0.00002233843,0.00002338731,0.00004289556,0.000324629,0.0001682652,0.001826588,0.9953623,0.00002374512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004295711,0.00003698437,0.00004331818,0.000067113,0.00002124629,0.000004414339,0.9987276,0.0003937285,0.0006626349],"genre_scores_gemma":[0.0003402729,0.00005015131,0.0001749213,0.00007927266,0.00001280579,0.00005361366,0.9980242,0.0002046453,0.001060148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7390863,"threshold_uncertainty_score":0.8728431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056984989949616,"score_gpt":0.3105011475489117,"score_spread":0.2699312976494156,"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."}}