{"id":"W6888461804","doi":"10.20381/ruor-23466","title":"USMCA (NAFTA 2.0): tightening the constraints on the right to regulate for public health","year":2019,"lang":"en","type":"other","venue":"University of Ottawa - Library","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Protectionism; Technical barriers to trade; Trade agreement; Free trade; Rigour; Public health; Intellectual property; Treaty; Commercial policy; General partnership","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002255803,0.0002257467,0.0003427043,0.0002417042,0.0004168072,0.0001127894,0.002179276,0.000132129,0.001103613],"category_scores_gemma":[0.00001911173,0.0001536329,0.000216131,0.0004568531,0.0002678497,0.0004236486,0.0005328042,0.0002741312,0.0002222963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003959995,"about_ca_system_score_gemma":0.0004905167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009910807,"about_ca_topic_score_gemma":0.00003695929,"domain_scores_codex":[0.9985321,0.0001780517,0.000143484,0.0004815985,0.0002831889,0.0003815709],"domain_scores_gemma":[0.998135,0.0003270099,0.0002694149,0.001059128,0.00003485349,0.0001745929],"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":[0.000005974437,0.00004209609,0.000007387229,0.0000272568,0.00005125713,0.000002455955,0.0002184126,0.000003313334,0.000001239177,0.3884748,0.6069454,0.004220463],"study_design_scores_gemma":[0.0002448332,0.0001970044,0.0001335932,0.000130149,0.000008979742,0.000001752462,0.00007163389,0.0004547883,0.00001820083,0.002166836,0.9963907,0.0001815013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004964789,0.0001321735,0.0580708,0.07168276,0.0007104903,0.001313565,0.0003639526,0.0003825877,0.867294],"genre_scores_gemma":[0.01147957,0.0000798393,0.01422045,0.00771429,0.0004795607,0.000003666632,0.0001195939,0.000171218,0.9657318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3894454,"threshold_uncertainty_score":0.9998095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847628385872568,"score_gpt":0.1972130337299043,"score_spread":0.1787367498711787,"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."}}