{"id":"W4390998605","doi":"10.51644/9781771124522-001","title":"Acknowledgements","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Killam Trusts; Strong; Government of Alberta; Wilfrid Laurier University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004486003,0.0009225361,0.00104731,0.002212,0.002981313,0.004236744,0.002382821,0.001377695,0.2858728],"category_scores_gemma":[0.03418466,0.0003139817,0.0005111833,0.001450155,0.0009074684,0.002453033,0.00598139,0.004184632,0.1767886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003639922,"about_ca_system_score_gemma":0.007236161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006763902,"about_ca_topic_score_gemma":0.01085783,"domain_scores_codex":[0.9932972,0.00146159,0.0003417731,0.0006654992,0.003702522,0.0005314929],"domain_scores_gemma":[0.9644639,0.003157245,0.001110303,0.001828759,0.02405615,0.005383693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002769357,0.00001438266,0.0002864131,0.000133454,0.000003719109,0.0001302209,0.0008393071,0.00004047496,0.0002381715,0.008115634,0.9619687,0.02820182],"study_design_scores_gemma":[0.000003506514,0.000004320109,0.0002737231,0.0001140662,0.000002085207,0.000121222,0.0006381256,0.00002665519,0.00005187071,0.001362741,0.9973963,0.000005402913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005301855,0.01279277,0.01415886,0.2006277,0.1461893,0.00118694,0.03778331,0.003140778,0.5788185],"genre_scores_gemma":[0.02106027,0.003536143,0.009729861,0.02963284,0.009019937,0.001042749,0.0106376,0.001894669,0.9134461],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7141272,"threshold_uncertainty_score":0.9563397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239690772538927,"score_gpt":0.311306044487375,"score_spread":0.2789091367619858,"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."}}