{"id":"W4402390052","doi":"10.4337/9781800886520.00014","title":"Industrial design law in Canada - 2024","year":2024,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Law; Political 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":[0.000974372,0.0007048331,0.0003104447,0.003571631,0.007604167,0.00677224,0.001480866,0.002389676,0.04073447],"category_scores_gemma":[0.001878806,0.0005265225,0.000435478,0.006445812,0.003845765,0.001451519,0.001166734,0.001667612,0.007946091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1169537,"about_ca_system_score_gemma":0.1115284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786083,"about_ca_topic_score_gemma":0.9877561,"domain_scores_codex":[0.9975438,0.00009775424,0.00004877252,0.0001306827,0.001810228,0.0003687177],"domain_scores_gemma":[0.9990506,0.00009847037,0.00002007752,0.00003782173,0.0007029368,0.00009006906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007477921,0.00001272962,0.0001866548,0.0001213588,0.00000221616,0.0001124266,0.000840835,0.0005710499,0.0001852194,0.3651794,0.5792618,0.05351875],"study_design_scores_gemma":[8.982765e-7,0.000001403497,0.0002515809,0.00006087034,0.000001105079,0.00002058466,0.0001330082,0.00008295738,0.00004306567,0.003182737,0.9962171,0.000004730414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001119863,0.01419154,0.0009375467,0.00609347,0.0006547678,0.00004469834,0.0006752381,0.0001365018,0.9761463],"genre_scores_gemma":[0.01821898,0.009650983,0.001365689,0.00274429,0.0001006572,0.00004048784,0.0004794958,0.00007148412,0.967328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1169537,"threshold_uncertainty_score":0.8485626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997645075235079,"score_gpt":0.2080666503156883,"score_spread":0.1480901995633375,"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."}}