{"id":"W7004917886","doi":"","title":"Peering into the Playbook for White Denial of Indigenous Injury","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; White (mutation); Denial; Theme (computing); Peering; White paper","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000818608,0.000772147,0.0003799169,0.0009338733,0.004115193,0.003742801,0.0008502206,0.001767873,0.502981],"category_scores_gemma":[0.003322712,0.000292485,0.0002189735,0.000773505,0.001115531,0.002666866,0.002009116,0.002389441,0.170522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898853,"about_ca_system_score_gemma":0.003034426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04937877,"about_ca_topic_score_gemma":0.1767022,"domain_scores_codex":[0.9994358,0.0000872179,0.00001699495,0.00004668455,0.0003081395,0.000105102],"domain_scores_gemma":[0.9979783,0.0004580623,0.00008035047,0.0001303534,0.0005277662,0.0008252442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000003345712,0.000005073339,0.00001956091,0.000007715546,1.785499e-7,0.00001634525,0.0001015769,0.000003166605,0.00001802204,0.0004972859,0.9935066,0.005821161],"study_design_scores_gemma":[0.000001271576,0.000002956274,0.0002269109,0.00002081188,2.276078e-7,0.00001534335,0.0003640859,0.000005666615,0.00001889052,0.0001780319,0.9991639,0.000001924855],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00103028,0.003066457,0.0006971696,0.04668565,0.02120638,0.0001505166,0.001972501,0.001014562,0.9241764],"genre_scores_gemma":[0.001986686,0.0006445908,0.0001496675,0.002492124,0.001290284,0.00002342156,0.0002690862,0.0002081256,0.992936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.502981,"threshold_uncertainty_score":0.7089373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009719641011584925,"score_gpt":0.1761811611301396,"score_spread":0.1664615201185547,"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."}}