{"id":"W2916612617","doi":"10.1628/000389214x14186502494108","title":"Spionage im Zeitalter von Big Data – Globale Überwachung und der Schutz der Privatsphäre im Völkerrecht","year":2014,"lang":"en","type":"article","venue":"Archiv des Völkerrechts","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001172938,0.00035027,0.000337278,0.0001817033,0.001426267,0.0005507118,0.001293234,0.0002148295,0.0001608754],"category_scores_gemma":[0.0006986491,0.0003226411,0.0001305712,0.0007033101,0.001240422,0.001552433,0.0004793601,0.00008869968,0.0001167638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353724,"about_ca_system_score_gemma":0.0002613379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007243658,"about_ca_topic_score_gemma":0.01406418,"domain_scores_codex":[0.9963998,0.0004668721,0.0005171496,0.0008625952,0.0008713946,0.0008822391],"domain_scores_gemma":[0.9977122,0.0003410956,0.0002237662,0.001172766,0.0001706567,0.0003795298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009165967,0.0005859325,0.08584421,0.0001599018,0.0004638559,0.00002221362,0.01123621,0.0002951186,0.0004763322,0.2099101,0.06942561,0.6214888],"study_design_scores_gemma":[0.0006826416,0.00006599355,0.02912804,0.0001938518,0.000173634,0.00001112803,0.0005246943,0.002446212,0.0002785068,0.103468,0.8622741,0.0007532854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2916991,0.00124834,0.08768061,0.001694565,0.00410212,0.00138844,0.0001837781,0.0008732691,0.6111298],"genre_scores_gemma":[0.9801521,0.0001876142,0.005693633,0.000404504,0.001734837,0.00001878407,0.0008528157,0.0000721562,0.01088357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7928484,"threshold_uncertainty_score":0.9999226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09077741656820122,"score_gpt":0.3482319890937591,"score_spread":0.2574545725255579,"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."}}