{"id":"W2619895480","doi":"10.1093/jiel/jgx020","title":"The Data-Driven Future of International Economic Law","year":2017,"lang":"en","type":"article","venue":"Journal of International Economic Law","topic":"European and International Law Studies","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Law; Political science; Law and economics; Economics; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292289,0.0001225463,0.0002326455,0.00005474029,0.0008650157,0.0005543329,0.004423823,0.00005502378,0.0006071493],"category_scores_gemma":[0.000166699,0.00009382082,0.000192024,0.000007077496,0.0009395799,0.001633666,0.0005189525,0.0002093328,0.0001467043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539491,"about_ca_system_score_gemma":0.0002361071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956037,"about_ca_topic_score_gemma":0.014084,"domain_scores_codex":[0.9984568,0.00007627437,0.0007604951,0.000188215,0.0003500781,0.0001681906],"domain_scores_gemma":[0.997279,0.0002397564,0.001622035,0.0004404582,0.0003331504,0.00008558413],"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":[0.00007679334,0.00002770482,0.001988355,0.000001176065,0.0004636215,0.000006644827,0.0003044537,0.0001587032,0.00001403122,0.9735908,0.02200172,0.001366039],"study_design_scores_gemma":[0.0005087612,0.00003127654,0.002479925,0.00003108165,0.00001778161,0.00001681153,0.0005830036,0.0004836514,0.00005578083,0.005423333,0.9902708,0.0000978281],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02747253,0.0003864591,0.00002322514,0.04143377,0.01860776,0.00008930144,0.0003007184,0.000009837248,0.9116764],"genre_scores_gemma":[0.9842361,0.004232723,0.0003500961,0.0005704416,0.006675634,0.000001505416,0.00001687291,0.00001552638,0.003901108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9682691,"threshold_uncertainty_score":0.8220637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566804010274248,"score_gpt":0.3295544472977674,"score_spread":0.2938864071950249,"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."}}