{"id":"W4412281818","doi":"","title":"Tear Gas, Expanding Bullets and Plain-Clothed Personnel: The Interface between Human Rights and Humanitarian Law in Modern Military Operations","year":2017,"lang":"en","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":"Law; International humanitarian law; Human rights; Political science; Engineering","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":[0.00310423,0.0002207082,0.0002774958,0.001533215,0.003177476,0.01238475,0.001255371,0.005103003,0.0124449],"category_scores_gemma":[0.01298162,0.0003231332,0.0002185321,0.001511924,0.03354909,0.009935706,0.003751847,0.003008159,0.0003656744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003241483,"about_ca_system_score_gemma":0.003172698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711643,"about_ca_topic_score_gemma":0.02081435,"domain_scores_codex":[0.9969874,0.001667423,0.00009675506,0.0002438731,0.0004442065,0.0005603357],"domain_scores_gemma":[0.992735,0.005445692,0.000890057,0.0002099188,0.0003515409,0.0003676937],"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":[0.0001444268,0.0001590286,0.006545261,0.0001439146,0.00001152658,0.0003189966,0.06760864,0.0005132082,0.0003997155,0.9003723,0.002518577,0.02126431],"study_design_scores_gemma":[0.00005537286,0.0001417184,0.03391129,0.0009165631,0.0000370303,0.0006898921,0.3399418,0.001601307,0.0006119945,0.5532294,0.06876817,0.00009549013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6711738,0.01377491,0.005035478,0.04475879,0.0002900246,0.00002829315,0.00006645218,0.00001954209,0.2648528],"genre_scores_gemma":[0.9942399,0.001061592,0.0002174043,0.0004325425,0.00005313845,0.00000617117,0.000005693222,0.000007789841,0.003975869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01711643,"threshold_uncertainty_score":0.04163235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05741618999360635,"score_gpt":0.343729736895246,"score_spread":0.2863135469016396,"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."}}