{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005419133,0.00004593283,0.00006569845,0.00009451694,0.001625181,0.0000865638,0.0006151702,0.0000104937,0.00001751752],"category_scores_gemma":[0.00001032823,0.00004247123,0.00001860485,0.0004871206,0.0005044236,0.0004665606,0.0003458147,0.00007976112,0.000002557922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003205711,"about_ca_system_score_gemma":0.0000566593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008154,"about_ca_topic_score_gemma":0.00006786879,"domain_scores_codex":[0.9989531,0.0000285529,0.00009361481,0.00024538,0.0004999858,0.0001793684],"domain_scores_gemma":[0.999683,0.00001881563,0.00005445422,0.0001518668,0.00003824984,0.00005363147],"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":[0.000001484313,0.00002190753,0.00002119542,0.000003110085,0.000001229846,0.00000452431,0.002602442,0.00000638089,0.02764322,0.9660157,0.0001873478,0.003491429],"study_design_scores_gemma":[0.00119645,0.0008425886,0.007161465,0.00001591045,0.00001331884,0.0001277303,0.0007218775,0.003797335,0.2744171,0.6471221,0.06383011,0.000754002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762383,0.00001600441,0.0008317812,0.000661434,0.0004350541,0.0001044829,0.000001448355,0.00009043425,0.02162103],"genre_scores_gemma":[0.9983147,9.628035e-8,0.00154196,0.00004298063,0.00002524533,0.000005606566,2.450031e-7,0.000001469732,0.00006768261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3188936,"threshold_uncertainty_score":0.9996746,"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."}}