{"id":"W7135889051","doi":"","title":"Who Gains from the Fragmentation of International Law and Who Can Fight Against It? Book Review: EYAL BENVENISTI & GEORGE W. DOWNS, BETWEEN FRAGMENTATION AND DEMOCRACY: THE ROLE OF NATIONAL AND INTERNATIONAL COURTS (Cambridge University Press, 2017)","year":2021,"lang":"he","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Fragmentation (computing); George (robot); International law; International relations","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":[0.001850277,0.0007110958,0.001629603,0.003833836,0.001463808,0.007184037,0.0009911923,0.004749111,0.009381386],"category_scores_gemma":[0.00700925,0.0005286207,0.0003782612,0.005207695,0.004869638,0.01093673,0.002062017,0.006679649,0.004227641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005143333,"about_ca_system_score_gemma":0.00751168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369815,"about_ca_topic_score_gemma":0.03481724,"domain_scores_codex":[0.9988022,0.0003811651,0.00006564699,0.0001410035,0.0005000222,0.0001099721],"domain_scores_gemma":[0.9950825,0.003268781,0.0002686651,0.000101292,0.001037451,0.0002413223],"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":[0.00001374654,0.00001222033,0.0001490133,0.001851032,0.00002342532,0.00004022727,0.0005803824,0.00009895791,0.00004498685,0.03510475,0.8163668,0.1457145],"study_design_scores_gemma":[0.000007207035,0.000008352847,0.000619697,0.005597605,0.00001496502,0.0001267395,0.0008513475,0.00003644472,0.00003795381,0.01297865,0.9797041,0.00001682774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008047739,0.9574572,0.00005510791,0.03243527,0.004120639,0.000003149531,0.00002535398,0.000003986536,0.005818848],"genre_scores_gemma":[0.002497252,0.9686133,0.00007795489,0.01356404,0.007515401,0.00001404573,0.0000574918,0.00001547245,0.007645047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01369815,"threshold_uncertainty_score":0.03731763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263296992771808,"score_gpt":0.3116257257781548,"score_spread":0.2689927558504367,"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."}}