{"id":"W4301376184","doi":"","title":"Power and wound: A study of the intersection of privilege and disadvantage in <italic>Symes</italic> v. <italic>Canada</italic>.","year":2016,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genealogy; History","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007625842,0.0004589188,0.0009925304,0.004823599,0.04538278,0.01918198,0.002912974,0.00560479,0.005786852],"category_scores_gemma":[0.01434891,0.0005977243,0.0006025045,0.004911305,0.08482983,0.02578889,0.02297423,0.01134125,0.0003619734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321941,"about_ca_system_score_gemma":0.007964033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05433236,"about_ca_topic_score_gemma":0.06178014,"domain_scores_codex":[0.9866645,0.008466098,0.0002197517,0.0007001668,0.001558781,0.002390632],"domain_scores_gemma":[0.9927878,0.005105055,0.0007027445,0.0001994739,0.000411744,0.0007932479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001001299,0.00004077289,0.00156616,0.00003515232,0.000003365461,0.0004149721,0.7580964,0.00002184854,0.00004859382,0.233671,0.001528037,0.004563679],"study_design_scores_gemma":[0.000004825025,0.00002027026,0.00246053,0.0002419287,0.000004610165,0.000278983,0.9158479,0.00006631567,0.0000666896,0.03580137,0.04519186,0.00001474515],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455351,0.01030239,0.003352203,0.06046704,0.0004657696,0.00007597111,0.00004915431,0.00001311935,0.2797393],"genre_scores_gemma":[0.9894338,0.00200194,0.0002345694,0.002538184,0.00009554336,0.00005890973,0.0000129673,0.00001733729,0.005606753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9456676,"threshold_uncertainty_score":0.1080322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007694148817736251,"score_gpt":0.2160617788717353,"score_spread":0.208367630053999,"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."}}