{"id":"W1767010817","doi":"","title":"'The Melancholy Truth': Corrective and Equitable Justice for Omar Khadr","year":2014,"lang":"en","type":"article","venue":"Dalhousie journal of legal studies","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Injustice; Context (archaeology); Economic Justice; Harm; Law; Constructive trust; Sociology; Appeal; Order (exchange); Proposition; Government (linguistics); Principal (computer security); Faith; Repatriation; Law and economics; Remedial education; Political science; Economics; Philosophy; History; Theology; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003030512,0.0001002597,0.0002804346,0.00003278822,0.002064894,0.0001667444,0.0002336735,0.00003827157,0.000003163438],"category_scores_gemma":[0.005869457,0.00006451138,0.00008861356,0.0001028263,0.0004698877,0.0003911258,0.00007632168,0.0001565811,0.000002822033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007300927,"about_ca_system_score_gemma":0.00008790044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002834461,"about_ca_topic_score_gemma":0.001617517,"domain_scores_codex":[0.9987353,0.000153919,0.0003009364,0.0001123507,0.0003543055,0.0003432012],"domain_scores_gemma":[0.9956765,0.003261642,0.0002870372,0.00007433366,0.000600265,0.0001002842],"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":[0.001198736,0.0001287652,0.001818607,0.0002683607,0.0007474053,0.00004012185,0.06710765,0.00007865536,0.0002590055,0.6352127,0.1579687,0.1351713],"study_design_scores_gemma":[0.0004844657,0.0005186899,0.0009824712,0.0001091492,0.0003711784,0.00002849293,0.0524892,0.00003539479,0.00006949747,0.01243908,0.932331,0.0001413783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6689311,0.09421959,0.004863396,0.08141429,0.02123561,0.001183354,0.00002852721,0.0001098101,0.1280143],"genre_scores_gemma":[0.9937181,0.002782029,0.0004464161,0.0002116696,0.001085402,0.000006636768,9.129741e-8,0.000008300546,0.001741386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7743623,"threshold_uncertainty_score":0.9992343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605805057015369,"score_gpt":0.3831973261374007,"score_spread":0.327139275567247,"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."}}