{"id":"W4388993498","doi":"10.1177/13540661231210931","title":"Hidden figures: how legal experts influence the design of international institutions","year":2023,"lang":"en","type":"article","venue":"European Journal of International Relations","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Legalization; Delegate; Law and economics; Normative; Principal (computer security); Political science; Scholarship; Politics; Sociology; Public relations; Economics; Law; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001151888,0.0001406743,0.0001267583,0.000660697,0.0002177094,0.0003410739,0.0008986964,0.0000266415,0.000549652],"category_scores_gemma":[0.001553505,0.0001040205,0.000171775,0.0004716917,0.0001502857,0.002901754,0.000154892,0.0002254287,0.0005993133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007852884,"about_ca_system_score_gemma":0.00009450976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001504792,"about_ca_topic_score_gemma":0.000003497886,"domain_scores_codex":[0.9981933,0.00008289928,0.0006267564,0.0001218435,0.0008211515,0.000154002],"domain_scores_gemma":[0.9976652,0.0001936745,0.0008138139,0.0001442082,0.001157881,0.00002517983],"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":[0.00007387115,0.000142472,0.005316306,0.000008053308,0.0002983288,0.00005968987,0.0003446032,0.0264857,0.002416272,0.756004,0.2084517,0.000399004],"study_design_scores_gemma":[0.0007572856,0.00003104154,0.04146029,0.0001618934,0.00004462467,0.00006270179,0.0005576448,0.01092795,0.000156677,0.001599795,0.9440695,0.0001705737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1375647,0.0001608406,0.0406588,0.06197125,0.007999653,0.000431545,0.00004003204,0.0001570131,0.7510161],"genre_scores_gemma":[0.9874297,0.00007459635,0.001086802,0.003686948,0.001897893,0.000006000237,0.00005870604,0.0000230342,0.005736361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8498649,"threshold_uncertainty_score":0.7703159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04450912665910661,"score_gpt":0.260695122759955,"score_spread":0.2161859961008484,"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."}}