{"id":"W1492045964","doi":"","title":"Canada's Anti-Spam Legislation: A Constitutional Analysis","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Scrutiny; Government (linguistics); Freedom of expression; The Internet; Constitutional law; Law; Political science; Business; Freedom of information; Internet privacy; Computer science; World Wide Web; Human rights","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150451,0.00011528,0.0001676425,0.0002013359,0.0003983454,0.0001570307,0.0004720493,0.00004567724,0.00002098897],"category_scores_gemma":[0.00005611043,0.0001054547,0.0001188934,0.0008247599,0.00005734404,0.0003074302,0.00003790414,0.0007593706,0.00001845707],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007315816,"about_ca_system_score_gemma":0.007374481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03796678,"about_ca_topic_score_gemma":0.3988282,"domain_scores_codex":[0.9977779,0.00009731382,0.0002214734,0.0002282634,0.0004422465,0.00123276],"domain_scores_gemma":[0.9993407,0.00004087054,0.0001334256,0.000244167,0.0001287554,0.0001121488],"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":[0.000003415992,0.00001601349,0.002915,7.477119e-7,0.0003825395,0.00000556561,0.00001601349,0.002152354,0.0001020759,0.9581044,0.0003183774,0.03598354],"study_design_scores_gemma":[0.002315222,0.0006563346,0.02124974,0.00002996068,0.0006320613,0.00425755,0.0002048483,0.2205298,0.001732197,0.4236933,0.3232713,0.001427662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02087181,0.0002476632,0.9728826,0.002110925,0.0003781893,0.00003951656,0.000001049681,0.00005017284,0.003418127],"genre_scores_gemma":[0.9974161,0.0001125081,0.001240432,0.0002678463,0.0002641559,0.000001712968,0.000003103349,0.000003544039,0.0006905987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9765443,"threshold_uncertainty_score":0.9982528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004281330976392101,"score_gpt":0.1962225695716493,"score_spread":0.1919412385952572,"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."}}