{"id":"W2783711086","doi":"","title":"Can Big Data Revolutionize International Human Rights Law","year":2017,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Human rights; Treaty; Big data; Political science; International human rights law; Data Protection Act 1998; Law and economics; Fundamental rights; Business; Law; Economics; 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":[0.05875169,0.0006770006,0.001091127,0.002999277,0.005604378,0.02312308,0.003655804,0.02243493,0.01631271],"category_scores_gemma":[0.1180495,0.0007123649,0.002217151,0.002975764,0.03612573,0.04405653,0.01552289,0.02268565,0.004782572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006033785,"about_ca_system_score_gemma":0.01379021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006359474,"about_ca_topic_score_gemma":0.004193231,"domain_scores_codex":[0.96731,0.01327358,0.00150429,0.003955134,0.01001191,0.003945162],"domain_scores_gemma":[0.9298569,0.04011128,0.004669722,0.01647526,0.005952082,0.00293485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001663912,0.0000227889,0.0003180077,0.00004353025,0.00001200753,0.00005132899,0.0004702388,0.0001603951,0.00005192186,0.9644806,0.02733997,0.007032649],"study_design_scores_gemma":[0.00002736542,0.00002541095,0.0004407434,0.0004538884,0.00001522849,0.00006242388,0.0005778123,0.0004592358,0.0002652368,0.7813359,0.2162964,0.00004027345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007184403,0.004790795,0.02030354,0.6229407,0.005823275,0.0001436887,0.0007139937,0.0003028298,0.3377969],"genre_scores_gemma":[0.3449522,0.007807705,0.01854615,0.5524046,0.01081892,0.0008666933,0.001206813,0.000560001,0.06283694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05875169,"threshold_uncertainty_score":0.3107123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09518803511986204,"score_gpt":0.3435713702606757,"score_spread":0.2483833351408136,"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."}}