{"id":"W4398919102","doi":"10.7910/dvn/qtoiqf/lynnb8","title":"30261-0006-Data-2.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":"Publicity; Legitimation; Replication (statistics); Law; Political science; 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":[0.001326738,0.00248136,0.001762737,0.004358192,0.0009630031,0.003561355,0.003456617,0.002685302,0.2908702],"category_scores_gemma":[0.008793161,0.001019279,0.001272811,0.008062987,0.0006164432,0.001988014,0.002389087,0.002080172,0.2991627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187912,"about_ca_system_score_gemma":0.002166497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02575287,"about_ca_topic_score_gemma":0.03523516,"domain_scores_codex":[0.9989644,0.0002007707,0.0001118059,0.0003215183,0.0002045723,0.0001968484],"domain_scores_gemma":[0.9970553,0.0009675104,0.0002647162,0.0007124459,0.0005893477,0.0004107618],"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":[0.00003052618,0.00001113007,0.0002937148,0.0002714341,0.00001444337,0.000006257818,0.00001123619,0.0001162898,0.00003002238,0.0003608138,0.9980345,0.0008196925],"study_design_scores_gemma":[0.0003572686,0.00001574502,0.001793447,0.0002419392,0.00002135555,0.00002775608,0.0000502612,0.000322779,0.0001866115,0.001679125,0.9952774,0.00002630099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003667055,0.00003243431,0.00002987525,0.00005801003,0.0000169744,0.000004066051,0.9989912,0.0002945197,0.0005361478],"genre_scores_gemma":[0.0003168508,0.00005087533,0.0001441433,0.000083887,0.00001234501,0.00005087708,0.9981906,0.0001783211,0.00097208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7091298,"threshold_uncertainty_score":0.9730577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156794471942041,"score_gpt":0.3118125567461004,"score_spread":0.2702446120266799,"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."}}