{"id":"W4405534765","doi":"10.3390/w16243647","title":"Key Factors Influencing Drinking Water Advisories on Indigenous Reserves in Canada: An XGBoost Analysis","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Indigenous; Duration (music); Certification; Business; Water supply; Key (lock); Environmental planning; Environmental resource management; Geography; Environmental science; Computer science; Environmental engineering; Computer security; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007470894,0.0005503217,0.0004613202,0.001263136,0.001126464,0.001051455,0.0008550663,0.0003990131,0.00121037],"category_scores_gemma":[0.001837426,0.0001810461,0.0007456754,0.002311781,0.0005630691,0.0003055361,0.0005293554,0.0007227345,0.0002018569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01102999,"about_ca_system_score_gemma":0.01700259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862694,"about_ca_topic_score_gemma":0.9837019,"domain_scores_codex":[0.9996259,0.00004254061,0.00001689741,0.0000803231,0.00009074828,0.0001434883],"domain_scores_gemma":[0.9990582,0.0002188314,0.00009204877,0.00004036671,0.0004686022,0.0001218611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003905448,0.0002144407,0.8756036,0.0001298231,0.0002448394,0.0002574965,0.0003753503,0.06519014,0.001054646,0.0008180831,0.008538499,0.04718259],"study_design_scores_gemma":[0.00002758623,0.00005823053,0.7140879,0.00006170315,0.0001169015,0.00006223017,0.002132266,0.2752481,0.0009982907,0.000456169,0.006699574,0.0000509331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893698,0.0004136858,0.001697865,0.0004369747,0.00001413381,0.00003175799,0.006602802,0.00008952336,0.001343531],"genre_scores_gemma":[0.9823669,0.0002921343,0.002845169,0.00006707457,0.000006557426,0.00001660103,0.01186732,0.00002037785,0.002517837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373059,"threshold_uncertainty_score":0.08002853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008528873760811378,"score_gpt":0.1856888062978324,"score_spread":0.1771599325370211,"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."}}