{"id":"W2300726672","doi":"","title":"Trademark Anti-Dilution Laws – Technology and the Internet – Lost in an Abyss? Perspectives from Australia, the United States and Canada","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Trademark; Law; The Internet; Political science; Business; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004628666,0.0002866643,0.0006245959,0.002917477,0.02492561,0.02610689,0.002311543,0.01255312,0.009797911],"category_scores_gemma":[0.01195732,0.0003344415,0.0005473322,0.004204447,0.03925095,0.01049444,0.005014424,0.01222697,0.0003741612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06036187,"about_ca_system_score_gemma":0.08405313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9366396,"about_ca_topic_score_gemma":0.9463128,"domain_scores_codex":[0.993899,0.000944297,0.0001219247,0.0004609032,0.001942565,0.002631418],"domain_scores_gemma":[0.9902913,0.004176369,0.0006710714,0.0003616376,0.002832349,0.001667258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005020097,0.00006209448,0.003275702,0.00007091676,0.00001883122,0.0005635547,0.04591391,0.0002446919,0.0002248144,0.9024972,0.03160654,0.01547159],"study_design_scores_gemma":[0.00006071109,0.00004995116,0.02325281,0.001043977,0.00009043745,0.0003901132,0.1730848,0.001133677,0.0006992847,0.1916287,0.6084053,0.0001603061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1739748,0.01465986,0.0007428133,0.3672175,0.0005198296,0.00002984323,0.0001372002,0.00002530295,0.4426929],"genre_scores_gemma":[0.9070617,0.006029588,0.0002460981,0.04535583,0.0002695422,0.000018781,0.00003239969,0.00003976594,0.04094622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06336039,"threshold_uncertainty_score":0.4379581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658777537168838,"score_gpt":0.2659966459512442,"score_spread":0.2494088705795559,"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."}}