{"id":"W2483446856","doi":"10.3726/978-3-0352-6187-5/13","title":"“Captured Images.” Performing the First Nations’ “Other” 169","year":2016,"lang":"en","type":"book-chapter","venue":"Peter Lang eBooks","topic":"Cultural Identity and Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence","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":[0.0004124518,0.0005804006,0.0001121072,0.0005694326,0.001938731,0.003489498,0.0004482205,0.0009446906,0.03873239],"category_scores_gemma":[0.0007972015,0.0001785843,0.000208164,0.0004258635,0.003017522,0.002829288,0.002124056,0.001284325,0.01047452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008282322,"about_ca_system_score_gemma":0.0006488919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004906097,"about_ca_topic_score_gemma":0.01429552,"domain_scores_codex":[0.9997612,0.0001046175,0.000005492872,0.00003549411,0.0000646697,0.00002852244],"domain_scores_gemma":[0.9998698,0.00003894014,0.000007203353,0.00002809264,0.0000292278,0.00002675339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003926353,0.00001560384,0.0002218181,0.0001646372,0.000006254051,0.0002130705,0.01143061,0.0002081697,0.001418141,0.4719387,0.3961814,0.1181624],"study_design_scores_gemma":[0.000002352595,0.000008576333,0.0003114058,0.0001677248,0.000001775009,0.000283026,0.003400884,0.0001156018,0.0005395523,0.008128293,0.9870346,0.000006119674],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002373724,0.00222699,0.0057525,0.002215765,0.001034437,0.00002771297,0.0001055174,0.0001203168,0.9861432],"genre_scores_gemma":[0.08554982,0.003305692,0.009261833,0.001082668,0.0003944736,0.00006469712,0.0002600681,0.0002707395,0.89981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03873239,"threshold_uncertainty_score":0.1295727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809087123051319,"score_gpt":0.2114562154681458,"score_spread":0.1733653442376326,"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."}}