{"id":"W4320062668","doi":"10.17803/1994-1471.2022.145.12.158-167","title":"Online Dispute Resolution in the Field of Intellectual Property: Russian and Foreign Experience","year":2022,"lang":"en","type":"article","venue":"Actual Problems of Russian Law","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Online dispute resolution; Settlement (finance); Economic Justice; Legislation; Political science; Order (exchange); Law and economics; Dispute resolution; Business; China; TRIPS architecture; Law; Alternative dispute resolution; Engineering; Sociology","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":[0.005940925,0.0002729399,0.0004469649,0.0008913102,0.004435871,0.006768744,0.0009012084,0.001754563,0.004693253],"category_scores_gemma":[0.006524381,0.0001606319,0.0003787468,0.001920497,0.004447064,0.004454779,0.002498423,0.001839887,0.001170043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101946,"about_ca_system_score_gemma":0.002548605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050098,"about_ca_topic_score_gemma":0.00239799,"domain_scores_codex":[0.9953584,0.00314908,0.0002236244,0.0002218431,0.0006298451,0.0004171475],"domain_scores_gemma":[0.996991,0.001840188,0.0003229755,0.000246811,0.0002657359,0.0003332281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000327237,0.001081304,0.01728917,0.001084208,0.00006114211,0.007142755,0.3490747,0.002177277,0.00166937,0.3081328,0.02376444,0.2881958],"study_design_scores_gemma":[0.00005686505,0.0004188053,0.01686325,0.000913205,0.00004373584,0.004955348,0.2028245,0.002255757,0.001828771,0.03285279,0.7369224,0.00006450331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6479329,0.04266855,0.008711322,0.01706211,0.0007771314,0.00009851813,0.0001107878,0.00008629614,0.2825525],"genre_scores_gemma":[0.9531765,0.0207603,0.002345473,0.0009686166,0.0002940868,0.00002443793,0.00009313855,0.00004105703,0.02229645],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006768744,"threshold_uncertainty_score":0.03141904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332963612366605,"score_gpt":0.2399232090542711,"score_spread":0.206593572930605,"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."}}