{"id":"W4307600829","doi":"10.1515/9781782384069-002","title":"Acknowledgements","year":2022,"lang":"en","type":"book-chapter","venue":"Berghahn Books","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004505317,0.0003649546,0.0006024874,0.0001450095,0.00623651,0.000004043897,0.0003412098,0.0005174552,0.3238547],"category_scores_gemma":[0.00005846363,0.0003646959,0.0001917334,0.00001451896,0.00007801355,0.0000264992,0.001387995,0.001607665,0.04742502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048157,"about_ca_system_score_gemma":0.0006568214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001236525,"about_ca_topic_score_gemma":0.009175876,"domain_scores_codex":[0.9975023,0.00007990749,0.0006207218,0.0004651404,0.0002671189,0.00106476],"domain_scores_gemma":[0.9983987,0.0001854298,0.0003969948,0.00054042,0.0003660366,0.0001124336],"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":[0.00003305042,0.00001940635,0.0002022664,0.0001769206,0.0002782366,0.00005057317,0.006350763,3.900799e-7,7.397624e-7,0.192728,0.7988495,0.001310112],"study_design_scores_gemma":[0.0003879521,0.0001309728,0.00006380075,0.00006323023,0.00009155326,0.000001184624,0.0008638703,5.434121e-7,1.764563e-7,0.009404176,0.9886677,0.0003248793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003355495,0.00100026,0.000002902473,0.0002847807,0.007031035,0.001390834,0.0001302149,0.0001475208,0.9899789],"genre_scores_gemma":[0.00009256171,0.0004533327,0.00004025585,0.002294295,0.001664708,0.0004168322,0.000142234,0.0001371828,0.9947586],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2764297,"threshold_uncertainty_score":0.9998805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06545822353660154,"score_gpt":0.3614820718016435,"score_spread":0.296023848265042,"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."}}