{"id":"W2264797461","doi":"","title":"Miscarriages of Justice in the War Against Terrorism","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Law; Terrorism; Immigration law; Immigration; Military justice; Political science; Misconduct; Context (archaeology); Criminal justice; Economic Justice; Criminal law; Criminology; Sociology; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226529,0.00005418475,0.00007480455,0.00006298831,0.0003406,0.00002407268,0.0004172489,0.00004184973,0.00005836892],"category_scores_gemma":[0.00004487571,0.00003542214,0.00006301751,0.00005430848,0.0000918438,0.0001560831,0.000007554522,0.0006895424,0.0000197582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944333,"about_ca_system_score_gemma":0.0008437203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002542611,"about_ca_topic_score_gemma":0.03035765,"domain_scores_codex":[0.9984374,0.0001729626,0.0001827076,0.00006701543,0.0003720885,0.000767806],"domain_scores_gemma":[0.9996727,0.00007871098,0.00009732343,0.00006151413,0.00006511187,0.00002461635],"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":[0.000007894223,0.00003847226,0.00007482781,0.00000112721,0.00001500886,0.000001795967,0.007204704,0.00003612741,0.00003276702,0.9902465,0.0001684234,0.002172354],"study_design_scores_gemma":[0.0004999137,0.00009292671,0.001052328,0.00002670443,0.0000385002,0.00003000431,0.01854583,0.0000432006,0.00007852473,0.8839331,0.09553136,0.0001276351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197976,0.0007979881,0.0001222645,0.005299558,0.0002102073,0.0000754635,9.511386e-7,0.000006979862,0.073689],"genre_scores_gemma":[0.9924918,0.0007834331,0.00002736389,0.0002505962,0.001198318,0.000001504616,7.020933e-7,0.000004036395,0.005242236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063134,"threshold_uncertainty_score":0.9873358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085252600382557,"score_gpt":0.2933778680810744,"score_spread":0.2825253420772488,"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."}}