{"id":"W7037696091","doi":"","title":"Environmental Protection in Trans-Atlantic (CETA) and North-Atlantic (USMCA) Megaregional Agreements: Towards Greater Integration and Regulatory Convergence","year":2021,"lang":"en","type":"article","venue":"Institutional Research Information System (Università degli Studi di Brescia)","topic":"Natural Compound Pharmacology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harmonization; Interdependence; Investment (military); Scope (computer science); Mainstream; Environmental law; Convergence (economics); Trade barrier; Free trade; Investment protection","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":[],"consensus_categories":[],"category_scores_codex":[0.0005162005,0.0001504344,0.0001933072,0.0001172038,0.0009847805,0.00009402158,0.000145444,0.000100919,0.00005299227],"category_scores_gemma":[0.00004957017,0.00008918509,0.00004364386,0.0005588579,0.0004192581,0.001334981,0.0002220248,0.0003091776,0.00002458766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004343582,"about_ca_system_score_gemma":0.00007116939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005218441,"about_ca_topic_score_gemma":0.00150992,"domain_scores_codex":[0.998125,0.0002615709,0.0002743273,0.0002731882,0.0007683069,0.0002975868],"domain_scores_gemma":[0.9994264,0.00008696849,0.00008346192,0.00005231158,0.0002414722,0.0001093465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029738,0.0002257484,0.8874681,0.0004632987,0.0003718266,0.0003093211,0.005279507,0.000149724,0.01691058,0.009125687,0.0008327673,0.07783368],"study_design_scores_gemma":[0.0006631421,0.000120594,0.9885091,0.0001053414,0.00001500218,0.0001354657,0.006512367,0.000734717,0.0001364914,0.00002756796,0.002881784,0.0001584795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971938,0.0002235667,0.00008923665,0.001149885,0.000160945,0.0005431905,0.00005809916,0.00003205064,0.0005492938],"genre_scores_gemma":[0.9994684,0.0001635283,0.00002009207,0.00005164432,0.00005926816,0.00003304737,0.000152178,7.902833e-7,0.00005107491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1010409,"threshold_uncertainty_score":0.7574235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07351432970484414,"score_gpt":0.2627019931984738,"score_spread":0.1891876634936296,"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."}}