{"id":"W2923250212","doi":"10.1163/9789004393622","title":"The Hague Yearbook of International Law","year":2016,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"International Law and Aviation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Council on Foreign Relations","funders":"","keywords":"Yearbook; Law; Political science; Library science; Computer science","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":[0.001917785,0.001226975,0.0009305798,0.00750469,0.00223083,0.01147007,0.001510524,0.002231147,0.1100226],"category_scores_gemma":[0.009662657,0.0007072189,0.0004208567,0.009815761,0.001583316,0.006351823,0.002694059,0.004133281,0.05168695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003837586,"about_ca_system_score_gemma":0.01013941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01755886,"about_ca_topic_score_gemma":0.02089378,"domain_scores_codex":[0.9978897,0.0002429859,0.0001949455,0.0001993343,0.00128118,0.0001918633],"domain_scores_gemma":[0.9957771,0.001338486,0.0003187781,0.0005900039,0.001570831,0.000404754],"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":[0.000005889184,0.00001176971,0.00006613869,0.0001496651,0.000001865096,0.00002110847,0.0001016455,0.0002185048,0.00004045576,0.02878226,0.9033185,0.06728215],"study_design_scores_gemma":[6.825339e-7,0.000001660264,0.00009068082,0.0001908867,6.02291e-7,0.00001672971,0.00003148034,0.00001605022,0.00001183874,0.002728242,0.9969082,0.00000296546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007843499,0.1159075,0.004220532,0.01265449,0.03929677,0.0001997771,0.007779726,0.0007659722,0.8183909],"genre_scores_gemma":[0.008118158,0.09032013,0.004180918,0.003911796,0.006163902,0.0004440604,0.00694691,0.0009206733,0.8789933],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1100226,"threshold_uncertainty_score":0.3680622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641858902563418,"score_gpt":0.2822078103233399,"score_spread":0.2657892212977057,"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."}}