{"id":"W2789545584","doi":"10.21668/health.risk/2017.4.01.eng","title":"Analysis of legal and methodological grounds for risk-oriented surveillance over consumer products: tasks and development prospects in the Eurasian Economic Union","year":2017,"lang":"en","type":"article","venue":"Health risk analysis","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Legislature; European union; Control (management); Consumer protection; International trade; Product (mathematics); Economic union; Public economics; Risk analysis (engineering); Economics; Commerce; 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":[0.03888452,0.0003743173,0.0003756088,0.006227501,0.001614238,0.007213133,0.001049181,0.001555396,0.002048869],"category_scores_gemma":[0.03821759,0.0003291241,0.00056927,0.005255148,0.005115612,0.004537902,0.001894691,0.001093383,0.0002403099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005045658,"about_ca_system_score_gemma":0.007167463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00632465,"about_ca_topic_score_gemma":0.003279095,"domain_scores_codex":[0.9792174,0.01186876,0.002154925,0.001520017,0.004614718,0.0006241745],"domain_scores_gemma":[0.9475595,0.03529681,0.006058489,0.00212531,0.008363809,0.0005960168],"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":[0.0003487872,0.0002195933,0.0378151,0.002232571,0.00008591071,0.001081,0.02951152,0.003369255,0.002898968,0.5964549,0.002632873,0.3233496],"study_design_scores_gemma":[0.00005085198,0.0006647517,0.2085935,0.01196007,0.000236926,0.002864762,0.06859113,0.01071187,0.009072576,0.1884311,0.4985934,0.0002290355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4680711,0.1353471,0.04929094,0.01718258,0.0004575782,0.0004011133,0.0002804716,0.00008704464,0.3288821],"genre_scores_gemma":[0.9513627,0.01266519,0.02562335,0.0008060802,0.00008177624,0.0001475648,0.0001592619,0.00004340122,0.009110832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03888452,"threshold_uncertainty_score":0.2056435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07493415609060572,"score_gpt":0.3589294785393658,"score_spread":0.2839953224487601,"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."}}