{"id":"W4412272171","doi":"","title":"Annotation of Article 19 of the ICTY Statute; Annotation of Article 21 of the ICTY Statute","year":2013,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Land Use and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Statute; Annotation; Law; Political science; Computer science; Artificial intelligence","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":[0.02214476,0.001483535,0.004581852,0.01636503,0.0106823,0.01373625,0.007695851,0.03066171,0.1478706],"category_scores_gemma":[0.1275563,0.00310152,0.00342733,0.01724456,0.004874497,0.005866467,0.00640736,0.02502068,0.09606566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01637704,"about_ca_system_score_gemma":0.06036662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07558268,"about_ca_topic_score_gemma":0.07847457,"domain_scores_codex":[0.9496608,0.006809467,0.007085987,0.002612303,0.02601787,0.0078137],"domain_scores_gemma":[0.8592541,0.06000724,0.008870058,0.01245498,0.05586886,0.003544832],"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":[0.0001137833,0.00008054082,0.0003724317,0.0002667256,0.00001265937,0.0001290714,0.0002717825,0.0002633797,0.0002158307,0.01372238,0.9801683,0.004383182],"study_design_scores_gemma":[0.0001408358,0.000022198,0.005373493,0.001062267,0.00004360672,0.00009816352,0.0003717534,0.0008143287,0.0007594591,0.01344738,0.9777561,0.0001104251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005221439,0.001711925,0.02862379,0.06951389,0.1084508,0.007383792,0.4136546,0.005532006,0.3599077],"genre_scores_gemma":[0.03879059,0.003130276,0.03390638,0.05588852,0.02396106,0.022132,0.3368262,0.007862484,0.4775025],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1478706,"threshold_uncertainty_score":0.4946765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708163930234123,"score_gpt":0.2867987761581035,"score_spread":0.2497171368557622,"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."}}