{"id":"W4404370932","doi":"10.1371/journal.pgph.0003917","title":"Indigenous knowledge and leadership for climate change adaptation in nutrition","year":2024,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Climate change adaptation; Indigenous; Adaptation (eye); Climate change; Traditional knowledge; Environmental resource management; Political science; Knowledge management; Business; Geography; Environmental planning; Psychology; Computer science; Environmental science; Ecology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.01024334,0.000211681,0.0003034683,0.0006664254,0.009809716,0.005834698,0.001360408,0.002501951,0.01598155],"category_scores_gemma":[0.01351373,0.0001782905,0.00032295,0.0005954476,0.016524,0.004498171,0.007368925,0.006378462,0.0006076993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006689074,"about_ca_system_score_gemma":0.02597895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04302014,"about_ca_topic_score_gemma":0.08108348,"domain_scores_codex":[0.993706,0.003377991,0.0000974813,0.0002513442,0.0005542901,0.002012861],"domain_scores_gemma":[0.9876239,0.005792391,0.0007584823,0.0004255216,0.001161058,0.004238586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000142969,0.000778863,0.01570949,0.0007372907,0.00008239596,0.001767645,0.4191053,0.0005018412,0.0008158461,0.347833,0.04729496,0.1652304],"study_design_scores_gemma":[0.00006151402,0.0002688362,0.01947547,0.002560447,0.0000717022,0.0003827443,0.4764501,0.0005907618,0.0005730323,0.1676143,0.3318696,0.00008151382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1909615,0.01133936,0.003184842,0.3952717,0.003926234,0.00008112838,0.00003546931,0.0000411383,0.3951586],"genre_scores_gemma":[0.9711331,0.003974218,0.0008668393,0.01015886,0.0005862409,0.00005181134,0.00001029243,0.00002121351,0.01319731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04302014,"threshold_uncertainty_score":0.08553946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653548482077998,"score_gpt":0.3668312884367556,"score_spread":0.1014764402289559,"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."}}