{"id":"W4285388102","doi":"10.1093/jnlids/idac016","title":"Reconsidering International Compensation in Historical Context","year":2022,"lang":"en","type":"article","venue":"Journal of International Dispute Settlement","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Compensation (psychology); Context (archaeology); Meaning (existential); International law; Law; Political science; International arbitration; Collateral; Work (physics); Law and economics; Arbitration; Sociology; History; Epistemology; Engineering; Philosophy; Psychology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007460231,0.0001279424,0.0001767814,0.0007639126,0.0001073737,0.0001555846,0.000552239,0.00002152003,0.004869482],"category_scores_gemma":[0.0001207371,0.0001296911,0.000149966,0.0001796388,0.00001819306,0.001096806,0.0002478652,0.0002996305,0.00005037576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554814,"about_ca_system_score_gemma":0.00005465427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009291077,"about_ca_topic_score_gemma":0.00009624835,"domain_scores_codex":[0.9977718,0.00002571337,0.000876571,0.0001603476,0.001021405,0.000144176],"domain_scores_gemma":[0.9986575,0.00004439031,0.0007924978,0.00008098494,0.0004072849,0.00001731183],"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":[0.0007945732,0.001582404,0.07953146,0.00003000543,0.0004522654,0.0003169845,0.0007233747,0.01080288,0.002699325,0.6818361,0.2127644,0.008466233],"study_design_scores_gemma":[0.001546581,0.00004020878,0.009616718,0.00003010681,0.00001324812,0.00005994851,0.0006909798,0.008817311,0.00008704301,0.00436681,0.9745778,0.0001532375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523585,0.0003320251,0.003682661,0.1424956,0.04539468,0.0006981496,0.00008834215,0.00008802523,0.2836355],"genre_scores_gemma":[0.978049,0.00001875031,0.0004621199,0.01893993,0.001549212,0.00002022348,0.0001175364,0.00001613392,0.0008271314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618133,"threshold_uncertainty_score":0.9960402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086850735974812,"score_gpt":0.2402635243319206,"score_spread":0.1993950169721724,"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."}}