{"id":"W6986281000","doi":"","title":"OVERLOOKED: Foundation Support for Native American Leaders and Communities","year":2021,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Native american; Foundation (evidence); Quarter (Canadian coin); African american; Government (linguistics); Pandemic; Native American studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054812,0.000302663,0.0002693962,0.001061444,0.01426882,0.008695196,0.001376509,0.002202897,0.0335984],"category_scores_gemma":[0.02277201,0.0001964702,0.0002251086,0.001017166,0.003069415,0.005200458,0.008190489,0.004057271,0.002284036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004441619,"about_ca_system_score_gemma":0.03751735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03051744,"about_ca_topic_score_gemma":0.07070745,"domain_scores_codex":[0.9935875,0.001891449,0.0001677708,0.0004087074,0.001670062,0.002274574],"domain_scores_gemma":[0.9557313,0.003875238,0.003391526,0.001324108,0.007227825,0.02844992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005894186,0.0002807915,0.04270316,0.0005369377,0.00005186393,0.001781185,0.04020255,0.00004731488,0.0007881483,0.02652056,0.653513,0.2335156],"study_design_scores_gemma":[0.00002387054,0.000127361,0.04537462,0.001289285,0.00004368366,0.001216108,0.1299254,0.0001234908,0.0003831661,0.004914078,0.8165249,0.00005414747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1910054,0.009696308,0.001274373,0.5082981,0.01038914,0.0001490669,0.0004383784,0.000360178,0.2783891],"genre_scores_gemma":[0.8327616,0.006015718,0.00160976,0.08922592,0.002421746,0.0001724147,0.000336645,0.0001007271,0.06735543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0335984,"threshold_uncertainty_score":0.1123978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05292137536190226,"score_gpt":0.3397576279265794,"score_spread":0.2868362525646772,"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."}}