{"id":"W4207086303","doi":"10.1017/cbo9781107588707.008","title":"State Cooperation with Respect to National Proceedings","year":2018,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"CLARITY; Subject (documents); Field (mathematics); Political science; State (computer science); Reading (process); Liability; Law; Criminal law; International law; Engineering ethics; Engineering; Computer science; Library 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":[0.001799683,0.0003329602,0.0003815659,0.001093465,0.003953597,0.006539761,0.001098447,0.00242263,0.1025879],"category_scores_gemma":[0.004868422,0.0003692083,0.0003756912,0.001865011,0.001812322,0.003313331,0.004263033,0.0032761,0.03249855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485873,"about_ca_system_score_gemma":0.005640619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00714356,"about_ca_topic_score_gemma":0.01243582,"domain_scores_codex":[0.9981356,0.0004245185,0.0001425769,0.0003195203,0.000753079,0.0002247512],"domain_scores_gemma":[0.9986594,0.0004535647,0.00008409906,0.0003351474,0.0003523806,0.0001154693],"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":[0.00001288321,0.00002287207,0.0001663934,0.0001105113,0.000005706235,0.00009086545,0.003198749,0.0001979265,0.0002371465,0.6134678,0.2913835,0.09110568],"study_design_scores_gemma":[0.000001323876,0.000004152128,0.0002120243,0.000102244,0.000002842474,0.00008049614,0.0002413048,0.00007188407,0.000093073,0.01054389,0.9886439,0.000002910053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008329403,0.0022469,0.0009252091,0.001788861,0.0006324864,0.00001561383,0.00006929145,0.00009982881,0.9933888],"genre_scores_gemma":[0.03491878,0.002450121,0.001012718,0.0009434049,0.0003043102,0.00003853019,0.0001793784,0.0001292348,0.9600236],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1025879,"threshold_uncertainty_score":0.3431906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02656796689093494,"score_gpt":0.239476033721501,"score_spread":0.212908066830566,"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."}}