{"id":"W7036182319","doi":"","title":"231 -As Canada Turns","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kindness; Government (linguistics); World War II; Judaism","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":[0.0006057586,0.0006793937,0.0004953907,0.001044559,0.01219799,0.01147838,0.0009911829,0.004224928,0.3974763],"category_scores_gemma":[0.002514559,0.0004037464,0.000365711,0.0016356,0.002396381,0.003157995,0.003139011,0.003644672,0.1702215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01835997,"about_ca_system_score_gemma":0.0385549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8841842,"about_ca_topic_score_gemma":0.9543066,"domain_scores_codex":[0.9984593,0.00005346339,0.0000213558,0.0001969631,0.0006655189,0.0006035021],"domain_scores_gemma":[0.997957,0.00007410671,0.00002819388,0.0001056149,0.0008539816,0.0009811254],"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":[0.00001061112,0.000006430287,0.0004273795,0.00001753165,0.000001372156,0.00006337381,0.0003386847,0.00001570192,0.00009316627,0.009019046,0.976055,0.01395164],"study_design_scores_gemma":[8.279236e-7,0.000001096429,0.0004562036,0.00001173933,4.822598e-7,0.00001044173,0.0003201208,0.000006551598,0.00001994849,0.0002127224,0.9989573,0.000002549382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001676016,0.001970018,0.0002124942,0.03176613,0.005726714,0.00005964702,0.002726485,0.0003857826,0.9554766],"genre_scores_gemma":[0.003422264,0.0003167274,0.00005210542,0.003862588,0.0001096229,0.000007624503,0.0002959152,0.0001021297,0.9918311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3974763,"threshold_uncertainty_score":0.8594269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003419523261296993,"score_gpt":0.1610695738062521,"score_spread":0.1576500505449551,"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."}}