{"id":"W7000363642","doi":"","title":"Episode 94.1: Because there's too much hate to handle for one episode","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":"Supreme court; Government (linguistics); Prejudice (legal term); Punishment (psychology)","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":[0.0006220778,0.000339459,0.0002835623,0.0003499895,0.005506866,0.004477508,0.000765134,0.003230056,0.3326362],"category_scores_gemma":[0.004743025,0.0002758626,0.0003618672,0.0004448557,0.0006109725,0.003739097,0.002733676,0.004861951,0.1548018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002237801,"about_ca_system_score_gemma":0.002325702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0328743,"about_ca_topic_score_gemma":0.09512903,"domain_scores_codex":[0.9991799,0.00008770245,0.00002158381,0.00005526673,0.0002971336,0.0003584031],"domain_scores_gemma":[0.9985525,0.0001460133,0.00007784346,0.00008200123,0.0005016427,0.0006400234],"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":[0.000006230049,0.000004619578,0.00007935854,0.00001221927,4.631292e-7,0.00004075685,0.0002389483,0.000003939655,0.00002755948,0.001697391,0.9934419,0.004446577],"study_design_scores_gemma":[0.000002858517,0.000004315091,0.000389095,0.00003503499,0.00000104713,0.00003960901,0.0007144555,0.00001067666,0.00007152838,0.0004087732,0.9983188,0.000003948182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002628277,0.0005831887,0.0006072491,0.05677544,0.006163908,0.0001604528,0.004445895,0.0008945661,0.927741],"genre_scores_gemma":[0.008736343,0.0003184481,0.0002636889,0.01521181,0.0007449288,0.00009678526,0.00143351,0.0007024832,0.9724919],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3326362,"threshold_uncertainty_score":0.9519135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311812947502161,"score_gpt":0.2106692703936155,"score_spread":0.1975511409185939,"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."}}