{"id":"W2600544451","doi":"","title":"Taking into account of the environment in free-trade agreement impact assessments [Prise en compte de l'environnement dans l'évaluation des impacts des traités de libre-échange]","year":2016,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic impact analysis; Impact assessment; Environmental impact assessment; Sustainability; European union; Externality; Valuation (finance); Consumption (sociology); Economics; Natural resource economics; Business; International trade; 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":[0.01890575,0.001710985,0.001159084,0.004153945,0.002875161,0.01145527,0.001615894,0.004284058,0.006929175],"category_scores_gemma":[0.03194544,0.0006507871,0.001786039,0.004666593,0.005250549,0.01148619,0.005227083,0.002564979,0.0006428289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003228921,"about_ca_system_score_gemma":0.005530904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005956735,"about_ca_topic_score_gemma":0.01066753,"domain_scores_codex":[0.9803274,0.01072002,0.0006403935,0.0009360973,0.006507664,0.0008683666],"domain_scores_gemma":[0.9800598,0.01438386,0.00121518,0.001651819,0.00235151,0.0003378873],"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":[0.0001005814,0.0002074882,0.008928752,0.0006612262,0.0003120911,0.0005878001,0.0009433596,0.1118304,0.001059409,0.7723147,0.008738635,0.09431554],"study_design_scores_gemma":[0.00002429845,0.0001318767,0.005644605,0.0004896736,0.0001221472,0.0001654489,0.0008176039,0.03195426,0.001978212,0.9022549,0.05633673,0.00008039374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08197833,0.01473828,0.5668641,0.0155511,0.002329682,0.0009120143,0.001365514,0.0002577811,0.3160032],"genre_scores_gemma":[0.7732434,0.01111806,0.1825975,0.002515703,0.001096194,0.0008253625,0.0008142645,0.0002989607,0.02749042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01890575,"threshold_uncertainty_score":0.09998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0462084209337782,"score_gpt":0.3585915256653471,"score_spread":0.3123831047315689,"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."}}