{"id":"W4402062355","doi":"10.55284/sol.v2022i4.99","title":"Social Media Providers and Human Rights","year":2022,"lang":"en","type":"article","venue":"Science of law.","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Human rights; Social media; Internet privacy; Business; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008753953,0.000263559,0.0002421684,0.002088956,0.006952689,0.008498661,0.0008450127,0.005764109,0.01793835],"category_scores_gemma":[0.02432401,0.000297033,0.0002597827,0.00159099,0.03422179,0.012185,0.006295961,0.004348291,0.001304061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003589098,"about_ca_system_score_gemma":0.004379431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005547601,"about_ca_topic_score_gemma":0.004771831,"domain_scores_codex":[0.9855284,0.008559679,0.0003988724,0.001260702,0.002501496,0.001750872],"domain_scores_gemma":[0.9697244,0.01957478,0.004187467,0.002894192,0.001828093,0.001791023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000123345,0.00003977431,0.003240348,0.00003357424,0.000003887968,0.0002221232,0.01113858,0.0001017996,0.0002022298,0.963158,0.004297833,0.01754944],"study_design_scores_gemma":[0.00002790439,0.0001006122,0.01110943,0.0007829992,0.00001951253,0.0009656402,0.03800672,0.001568393,0.0009440865,0.6348355,0.3115828,0.00005628548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09359073,0.00209296,0.01211282,0.07089321,0.0002605631,0.0001538271,0.0001052235,0.00005679946,0.8207339],"genre_scores_gemma":[0.9671943,0.0009927538,0.001292442,0.004072387,0.0002451372,0.00009304928,0.00002497356,0.00002332276,0.02606164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01793835,"threshold_uncertainty_score":0.06000972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710680117337755,"score_gpt":0.2589292910910271,"score_spread":0.2418224899176495,"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."}}