{"id":"W4313690393","doi":"10.2139/ssrn.4317451","title":"Legal Remedies for Online Attacks: Young People’s Perspectives","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Internet privacy; Political science; Law; Computer security; Criminology; Psychology; Computer science","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":[0.008516906,0.0002276097,0.0005145437,0.002497645,0.005737772,0.007564053,0.00128435,0.01044028,0.007658449],"category_scores_gemma":[0.02824692,0.0003188833,0.0005799438,0.001296837,0.007993861,0.006684551,0.003804281,0.01014893,0.000723072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004317567,"about_ca_system_score_gemma":0.01000006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03445803,"about_ca_topic_score_gemma":0.05794125,"domain_scores_codex":[0.995787,0.001408325,0.0002612862,0.0003227956,0.0008369379,0.001383718],"domain_scores_gemma":[0.9728459,0.01382536,0.003057624,0.0003193107,0.004270265,0.00568158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001717352,0.0008278245,0.09320495,0.001022499,0.000096385,0.005540507,0.2050426,0.0003806524,0.001077228,0.3480595,0.1144067,0.2301695],"study_design_scores_gemma":[0.00006945845,0.0004221837,0.06963196,0.006113309,0.0001027823,0.003169821,0.3335255,0.0003728977,0.0007312111,0.05467575,0.5310584,0.0001267075],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1471747,0.04077797,0.0009049849,0.7211473,0.002553314,0.00006533725,0.0002462815,0.00001481611,0.08711535],"genre_scores_gemma":[0.8360327,0.03419235,0.0004259001,0.1161411,0.002865411,0.00006693582,0.00007739068,0.000024966,0.0101733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03445803,"threshold_uncertainty_score":0.06851494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006049373321593611,"score_gpt":0.2393137792855712,"score_spread":0.2332644059639776,"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."}}