{"id":"W7037606339","doi":"","title":"Episode #109: We Talkin' Everything Race Related with: Taina Theano","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code (set theory); Race (biology); Social media; Float (project management)","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":[0.000369608,0.0005220638,0.0003745326,0.0004151844,0.006926246,0.004366379,0.0006248445,0.001288229,0.4858897],"category_scores_gemma":[0.001601888,0.0002897766,0.0003475926,0.0004730736,0.0005329004,0.002481067,0.003394895,0.002516828,0.1813713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746829,"about_ca_system_score_gemma":0.001746333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03353585,"about_ca_topic_score_gemma":0.1743234,"domain_scores_codex":[0.9996823,0.00003565133,0.00000745761,0.00004187501,0.00009393034,0.0001387255],"domain_scores_gemma":[0.9992137,0.0000324036,0.00001843488,0.00003629809,0.0001653604,0.0005338269],"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":[0.00001824119,0.00001226573,0.0001143698,0.0000246137,8.629535e-7,0.00007639849,0.0005772793,0.000005385226,0.0001049102,0.0005830178,0.9908053,0.007677347],"study_design_scores_gemma":[0.000003195855,0.000006166685,0.0004345685,0.00003287232,9.8979e-7,0.00002983478,0.001129544,0.00001254445,0.00006521663,0.0001019388,0.9981804,0.000002777481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005255292,0.000774962,0.0009383938,0.01240714,0.01203761,0.0003378581,0.003292998,0.001555682,0.9634001],"genre_scores_gemma":[0.01111933,0.0003374412,0.0003613401,0.002363923,0.0005686831,0.00008557069,0.001351103,0.0008223746,0.9829901],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4858897,"threshold_uncertainty_score":0.7333159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005547148179782009,"score_gpt":0.1811904991328015,"score_spread":0.1756433509530195,"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."}}