{"id":"W4390705961","doi":"10.1007/978-3-031-23161-2_464","title":"Indigenous Knowledge for Mental Health, Data Visualization","year":2024,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computer Graphics and Games","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Indigenous; Mental health; Visualization; Traditional knowledge; Psychology; Data science; Geography; Computer science; Data mining; Psychiatry; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008802253,0.0002503455,0.000432213,0.0003587522,0.002086563,0.00008030375,0.0004314039,0.0003220473,0.00002048559],"category_scores_gemma":[0.000001573258,0.0002255446,0.00009928431,0.000097168,0.0003274026,0.0001420866,0.00001910998,0.000196484,0.000008463655],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006777353,"about_ca_system_score_gemma":0.007329946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004746082,"about_ca_topic_score_gemma":0.1876537,"domain_scores_codex":[0.9982496,0.00005402625,0.0005297502,0.0005178016,0.0002892627,0.0003595564],"domain_scores_gemma":[0.9987531,0.0001737591,0.0003209625,0.0003649899,0.0001991298,0.0001880648],"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":[0.000004070349,0.00004296139,0.0000132517,0.0004856819,0.0000570763,3.979205e-7,0.1981847,7.462113e-8,3.257352e-9,0.7855293,0.007550743,0.008131731],"study_design_scores_gemma":[0.000109675,0.0001590567,0.00002087497,0.0002936581,0.00004177765,0.000001577355,0.0001712442,0.00009769019,1.406598e-7,0.057336,0.9415423,0.0002260706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0005399403,0.05862579,0.002336152,0.0007828347,0.008753354,0.00340177,0.001298474,0.0001570476,0.9241046],"genre_scores_gemma":[0.0002025318,0.5735088,0.001081257,0.0001134403,0.003670268,0.000005455818,0.001777242,0.00007471004,0.4195663],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9339915,"threshold_uncertainty_score":0.9992126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626342713956587,"score_gpt":0.3330022239867673,"score_spread":0.3067387968472014,"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."}}