{"id":"W6989613491","doi":"","title":"2022-07-10 - BTWRLM481 - Wokeness Oh Gawdlyness","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Duty; Officer; White (mutation); Governor; Anecdote; Government (linguistics); Social media; The Internet","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":["insufficient_payload"],"category_scores_codex":[0.0006430051,0.0006821118,0.0003549453,0.0008367594,0.003211814,0.005825806,0.0006880177,0.002480598,0.8634796],"category_scores_gemma":[0.002923562,0.0003375529,0.0003857879,0.0006850463,0.0005372569,0.003705555,0.003205904,0.002573059,0.7914642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509994,"about_ca_system_score_gemma":0.001849957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117932,"about_ca_topic_score_gemma":0.03328627,"domain_scores_codex":[0.9994355,0.00005324154,0.00001656209,0.00008802456,0.0002478469,0.000158799],"domain_scores_gemma":[0.9987093,0.0000953213,0.00003263429,0.00009166751,0.000458574,0.0006125038],"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":[0.00001383611,0.00001270583,0.00007892088,0.00001837134,6.264883e-7,0.00002591935,0.00003302347,0.000008110326,0.0000939901,0.001689635,0.9843919,0.01363298],"study_design_scores_gemma":[0.000002477387,0.000003140941,0.0001027007,0.0000138111,3.445064e-7,0.00001454311,0.00006328973,0.00001289144,0.00004356303,0.0001301476,0.9996111,0.000002110897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003691147,0.0002174349,0.0003042092,0.004518813,0.003030624,0.00006559834,0.001975739,0.001265241,0.9882533],"genre_scores_gemma":[0.001398352,0.0001441044,0.0001626712,0.001831691,0.0001621814,0.00003142531,0.0008140882,0.000593778,0.9948617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1365204,"threshold_uncertainty_score":0.1947297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450803139210012,"score_gpt":0.2534675956849639,"score_spread":0.2389595642928638,"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."}}