{"id":"W2790933850","doi":"10.1007/s11356-018-1258-1","title":"Water infrastructure and well-being among First Nations, Métis and Inuit individuals in Canada: what does the data tell us?","year":2018,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"Social Sciences and Humanities Research Council of Canada; Indigenous and Northern Affairs Canada; University of Winnipeg","keywords":"Sanitation; Public health; Water supply; Water infrastructure; Survey data collection; Geography; Socioeconomics; Environmental health; Community health; Business; Economic growth; Sociology; Economics; Medicine; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001336417,0.00008127775,0.0000702996,0.0002033715,0.001656898,0.0005196896,0.0003549655,0.00003604024,0.0001762353],"category_scores_gemma":[0.00005550086,0.00004624002,0.000004002174,0.0002926964,0.002168558,0.001425367,0.0008398918,0.000209161,0.000004909018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003385046,"about_ca_system_score_gemma":0.00005489006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1116172,"about_ca_topic_score_gemma":0.6233765,"domain_scores_codex":[0.998321,0.0001055904,0.0001306762,0.0003750911,0.000673079,0.0003945424],"domain_scores_gemma":[0.9995391,0.00008044711,0.00001936537,0.0002342665,0.00001105545,0.0001157715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001869825,0.00001725055,0.983554,0.0000155394,0.000002893951,0.000002477886,0.005752846,0.000002284438,0.002363335,0.00003673647,0.0009270024,0.00730692],"study_design_scores_gemma":[0.0002609314,0.00003039015,0.9697237,0.0000486725,0.000002557108,0.00001110269,0.002710651,0.0004117338,0.01210835,0.0003496242,0.01425998,0.00008229889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989398,0.0002055641,6.130113e-7,0.009797463,0.0001269818,0.0002874172,0.00003875748,0.000003732617,0.0001414792],"genre_scores_gemma":[0.998538,0.000809384,0.00001706933,0.0004866694,0.00007851063,0.000005968709,0.00001542969,0.00000460848,0.0000443509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5117593,"threshold_uncertainty_score":0.9996428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413236163338854,"score_gpt":0.2790077112112325,"score_spread":0.264875349577844,"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."}}