{"id":"W7071802850","doi":"","title":"Supplemental materials for preprint: Insights into water insecurity in Indigenous communities in Canada: assessing microbial risks and innovative solutions, a multifaceted review.","year":2024,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Indigenous; Water quality; Work (physics); Traditional knowledge; Water scarcity; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002765127,0.001297956,0.0008567432,0.005469347,0.001677908,0.003063412,0.001940607,0.001865906,0.2631315],"category_scores_gemma":[0.0218311,0.0003458378,0.0009551115,0.009329286,0.0008002941,0.001853039,0.001338401,0.001507194,0.04795358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006188264,"about_ca_system_score_gemma":0.02758716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4456018,"about_ca_topic_score_gemma":0.5958486,"domain_scores_codex":[0.9985385,0.0001538923,0.00008824027,0.0001171125,0.0009642047,0.0001381093],"domain_scores_gemma":[0.983374,0.005280374,0.0006740702,0.0004919707,0.009419341,0.0007602559],"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":[0.00002219201,0.00002068716,0.0005176469,0.00397043,0.00003526907,0.00004278385,0.0001710046,0.00009184905,0.0001286581,0.001485803,0.9626746,0.03083904],"study_design_scores_gemma":[0.00002000418,0.0000108186,0.005239676,0.003837304,0.00009450653,0.0000967356,0.0002903334,0.0001221724,0.0003641983,0.001749611,0.9881397,0.00003487207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002379947,0.08625444,0.006225174,0.03501623,0.01175734,0.0006223199,0.7443705,0.003188608,0.1101855],"genre_scores_gemma":[0.02594775,0.2383353,0.01758021,0.01405429,0.006026275,0.0008723073,0.4853905,0.003218438,0.2085751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5543982,"threshold_uncertainty_score":0.8860161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592995658067938,"score_gpt":0.3073395627481468,"score_spread":0.2714096061674675,"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."}}