{"id":"W3011854231","doi":"10.2139/ssrn.3479044","title":"Trademark Registration: Understanding the Distinction Between Standard Character Mark and Stylised Mark","year":2019,"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":"University of Saskatchewan","funders":"","keywords":"Trademark; Character (mathematics); Business; Natural language processing; Linguistics; Computer science; Political science; Philosophy; Law; Mathematics; Geometry","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":[0.00992728,0.0003211581,0.0006596395,0.00298491,0.002837991,0.01848641,0.002403348,0.007106068,0.011406],"category_scores_gemma":[0.0287505,0.0005090226,0.0006368212,0.003437985,0.02490324,0.02984656,0.004353564,0.00509768,0.002237757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004470491,"about_ca_system_score_gemma":0.005168915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005672427,"about_ca_topic_score_gemma":0.005474973,"domain_scores_codex":[0.9925445,0.003293044,0.0004450284,0.001294151,0.001801512,0.0006217383],"domain_scores_gemma":[0.986293,0.007813309,0.0016618,0.002406898,0.001479334,0.0003456463],"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":[0.000005171249,0.000003589676,0.0001674083,0.00000830526,6.024222e-7,0.00001633181,0.0007068351,0.0000619184,0.00004364201,0.9963735,0.000439241,0.002173552],"study_design_scores_gemma":[0.000009347104,0.0000125545,0.0006041664,0.00007434794,0.000005502241,0.0001010874,0.001271328,0.001495708,0.0002665388,0.9765708,0.01957425,0.00001436239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07462546,0.003703011,0.1779627,0.05980688,0.0007035692,0.0001413775,0.0003826524,0.0002640177,0.6824104],"genre_scores_gemma":[0.958145,0.001293029,0.01524054,0.002526443,0.0003979763,0.00007644914,0.0001158955,0.0001476606,0.02205712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01848641,"threshold_uncertainty_score":0.05250114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249706412522842,"score_gpt":0.2703252409891538,"score_spread":0.2378281768639254,"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."}}