{"id":"W2215981024","doi":"","title":"Dataset Used in 'Arbitrator Behaviour in Asymmetrical Adjudication: An Empirical Study of Investment Treaty Arbitration'","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"International Arbitration and Investment Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Adjudication; Arbitration; Treaty; Investment arbitration; Business; Law; Investment (military); Law and economics; Political science; International economics; International investment; Economics; Foreign direct investment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295223,0.0007819963,0.001055685,0.003915307,0.001340137,0.001965879,0.00219298,0.003244768,0.0238657],"category_scores_gemma":[0.01411022,0.0004979681,0.0008797994,0.005936455,0.0006354032,0.001064768,0.001929907,0.00213349,0.02757731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935839,"about_ca_system_score_gemma":0.002422915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03237451,"about_ca_topic_score_gemma":0.03840968,"domain_scores_codex":[0.9965744,0.0007037104,0.0006677239,0.0005905349,0.001005477,0.0004581153],"domain_scores_gemma":[0.9855043,0.003977421,0.002752051,0.00315806,0.00359887,0.001009257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004402691,0.0004316214,0.02101674,0.0005149829,0.00007147026,0.0002256574,0.0003637236,0.001055121,0.0004949234,0.001543502,0.9626939,0.01114822],"study_design_scores_gemma":[0.0007393388,0.0002245322,0.1429126,0.000351169,0.00008017891,0.0004529753,0.001268987,0.002113976,0.001958081,0.001939715,0.84782,0.0001385134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01082022,0.0000819081,0.0003601263,0.000352123,0.00008192654,0.0001902427,0.98499,0.0002493595,0.00287415],"genre_scores_gemma":[0.01234571,0.00005774927,0.0008358585,0.0001364316,0.00003226196,0.0005959212,0.9828638,0.00004955108,0.003082737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03237451,"threshold_uncertainty_score":0.07983869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093366998103143,"score_gpt":0.3046245836356286,"score_spread":0.2736909136545972,"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."}}