{"id":"W2743594204","doi":"","title":"Identifier et protéger la propriété intellectuelle dans les vêtements et accessoires de mode au Canada","year":2017,"lang":"fr","type":"article","venue":"Les Cahiers de propriété intellectuelle","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Geography","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":[0.004423163,0.00024908,0.0003548989,0.002265022,0.01267056,0.008919192,0.001195248,0.002793914,0.006836195],"category_scores_gemma":[0.01695952,0.000417207,0.00036685,0.002477621,0.006168196,0.002539447,0.002355565,0.004037817,0.0004484949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05441757,"about_ca_system_score_gemma":0.08704142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776642,"about_ca_topic_score_gemma":0.9839936,"domain_scores_codex":[0.9926224,0.0008194508,0.0001628157,0.0005261636,0.003606903,0.002262261],"domain_scores_gemma":[0.985752,0.004920508,0.001137622,0.0006511034,0.005689514,0.001849162],"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":[0.0003053021,0.0001885536,0.2081484,0.0001447295,0.00008790955,0.001788906,0.09503001,0.002918808,0.005516833,0.5238678,0.03356722,0.1284356],"study_design_scores_gemma":[0.00008166982,0.000184189,0.3833737,0.0005126715,0.0001012777,0.0007405856,0.1090374,0.00869306,0.003960025,0.03695285,0.4560557,0.0003067886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096747,0.001224203,0.004737349,0.01467591,0.0001131162,0.00009492994,0.0004273561,0.0001092399,0.1689431],"genre_scores_gemma":[0.9402595,0.0003283966,0.00108963,0.001001085,0.0000213819,0.00002470547,0.00005639165,0.00002780366,0.05719102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05441757,"threshold_uncertainty_score":0.394829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312734050830298,"score_gpt":0.3161320720353364,"score_spread":0.2830047315270335,"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."}}