{"id":"W4366431497","doi":"10.2139/ssrn.4414249","title":"Information Economics and Free Speech","year":2023,"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":"Quest University Canada","funders":"","keywords":"Free speech; Economics; Political 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":[0.001491103,0.0002495314,0.0004577043,0.001883776,0.000943782,0.003836038,0.0002986541,0.002360944,0.01958633],"category_scores_gemma":[0.01037914,0.0002006117,0.000233844,0.001448204,0.003674357,0.005154769,0.0009066107,0.001904504,0.0009240241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013442,"about_ca_system_score_gemma":0.0007791652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918689,"about_ca_topic_score_gemma":0.00230899,"domain_scores_codex":[0.9990143,0.0004937686,0.00003739289,0.0001125184,0.0001957471,0.0001462905],"domain_scores_gemma":[0.9820935,0.01493846,0.001336089,0.0005430458,0.000586327,0.0005027601],"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":[0.0000429774,0.00006246087,0.003349537,0.0000447118,0.00001896853,0.0001587675,0.0004000013,0.001250847,0.00009440768,0.972972,0.005827518,0.01577765],"study_design_scores_gemma":[0.00001141041,0.00002259972,0.003903453,0.00004734664,0.00001162692,0.0001132462,0.0006228025,0.002533666,0.0001185455,0.9833694,0.009235961,0.00000995676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2547014,0.01800473,0.03403565,0.09417554,0.0007086287,0.00006661501,0.0007052059,0.00006576129,0.5975365],"genre_scores_gemma":[0.9718242,0.002506916,0.000453267,0.001303776,0.0005890228,0.00001790941,0.00005041122,0.000008489024,0.02324597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01958633,"threshold_uncertainty_score":0.06552279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004859135941822937,"score_gpt":0.1940595236632288,"score_spread":0.1892003877214059,"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."}}