{"id":"W7139912375","doi":"10.5683/sp3/yt0oar","title":"Discourse on Indigenous-Police Interactions","year":2024,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Indigenous; Criminal justice; Representation (politics); Economic Justice; Content analysis; Public discourse","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":[0.004637158,0.0003541611,0.0003678442,0.006586864,0.004444861,0.004510784,0.0007237345,0.001005938,0.01120518],"category_scores_gemma":[0.01908822,0.0002109058,0.0002122335,0.009670846,0.002585776,0.004920708,0.004053229,0.001196026,0.002298406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049596,"about_ca_system_score_gemma":0.002658834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0340371,"about_ca_topic_score_gemma":0.04539284,"domain_scores_codex":[0.9968375,0.001651011,0.0002783122,0.0003695403,0.0006177995,0.0002458341],"domain_scores_gemma":[0.9843122,0.01221735,0.001222309,0.0004763117,0.001384475,0.0003873188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001625011,0.00005094113,0.0143498,0.003044396,0.00001808644,0.0009421778,0.8693879,0.0001175203,0.001879792,0.01343339,0.05684177,0.03977175],"study_design_scores_gemma":[0.000009865384,0.00002651764,0.0324326,0.002066733,0.00002623713,0.0002684646,0.4599438,0.0001929867,0.0009319467,0.001277599,0.502779,0.00004427329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7222009,0.005610138,0.002023645,0.01693409,0.0006031906,0.0003461004,0.1041128,0.0002155131,0.1479537],"genre_scores_gemma":[0.8821561,0.0128834,0.004186057,0.002242372,0.0006094619,0.001644366,0.06134648,0.0003008599,0.03463079],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9659629,"threshold_uncertainty_score":0.06767797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444333735019818,"score_gpt":0.3515326791311739,"score_spread":0.3270893417809758,"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."}}