{"id":"W4394217897","doi":"10.6084/m9.figshare.21629419","title":"Additional file 1 of Health effects of Indigenous language use and revitalization: a realist review","year":2022,"lang":"en","type":"review","venue":"Figshare","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Indigenous; Computer science; Indigenous language; Data science; Linguistics; Biology; Ecology; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006977418,0.001244321,0.002366611,0.006438551,0.000658913,0.001793814,0.002118237,0.001344809,0.7918637],"category_scores_gemma":[0.06841825,0.0007587886,0.002821142,0.01119361,0.0004236604,0.002973307,0.001320586,0.0009713193,0.04402243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003298985,"about_ca_system_score_gemma":0.007923618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277671,"about_ca_topic_score_gemma":0.02467782,"domain_scores_codex":[0.996716,0.0009317747,0.0009916807,0.0003446926,0.0007866072,0.0002293617],"domain_scores_gemma":[0.9400712,0.04386791,0.006528247,0.001189289,0.007723048,0.0006202685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007177712,0.00004654059,0.0005813464,0.251477,0.0004979077,0.00005243049,0.0001188037,0.0002456809,0.00009405538,0.002059115,0.7273266,0.01678279],"study_design_scores_gemma":[0.01329338,0.0003545235,0.0160561,0.1428514,0.003106974,0.0002661408,0.0003476039,0.0006428382,0.0003750944,0.00618496,0.816372,0.0001489049],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0001245684,0.0009740714,0.0001684059,0.0005223265,0.00008230784,0.001472738,0.9940634,0.0001421885,0.002449883],"genre_scores_gemma":[0.01573312,0.01412017,0.009964081,0.004589592,0.0007125576,0.07616458,0.8156856,0.0007321087,0.06229819],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7918637,"threshold_uncertainty_score":0.2968812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2189268373346454,"score_gpt":0.482029870343237,"score_spread":0.2631030330085916,"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."}}