{"id":"W2734343527","doi":"10.1007/s11356-017-9618-9","title":"Water safety plans as a tool for drinking water regulatory frameworks in Arctic communities","year":2017,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Arctic; Context (archaeology); Environmental planning; Staffing; Water quality; Environmental resource management; Water supply; Business; Best practice; Environmental science; Environmental protection; Geography; Environmental engineering; Ecology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006597736,0.00007854978,0.0001312513,0.0001352709,0.02440656,0.00005235675,0.0003800492,0.0001814669,0.0006379199],"category_scores_gemma":[0.0001020219,0.00005042047,0.00001951194,0.00003118802,0.001882856,0.0002566555,0.001093657,0.000851267,0.0002330862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007986891,"about_ca_system_score_gemma":0.00009537044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004324778,"about_ca_topic_score_gemma":0.008355167,"domain_scores_codex":[0.9975659,0.0002326355,0.0002039896,0.0002020357,0.0004011098,0.001394343],"domain_scores_gemma":[0.9993556,0.0001397588,0.0000291567,0.0003663599,0.00003278289,0.00007630164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003102978,0.0001401985,0.7343953,0.0001053305,0.00001683146,0.000009117284,0.2367292,0.00003136057,0.01983401,0.00393499,0.0004225347,0.004070927],"study_design_scores_gemma":[0.0008299807,0.0002570207,0.8735856,0.00009217326,0.000003369311,0.000003685932,0.08513473,0.0001830927,0.00147786,0.003226698,0.03504126,0.0001645406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909412,0.0000280068,0.00001246227,0.00520982,0.0002168519,0.0008276609,0.0000141856,0.00000638711,0.002743452],"genre_scores_gemma":[0.9971444,0.0002142919,0.0000345894,0.0006430972,0.00009408248,0.0001821486,0.000009734162,0.00000722205,0.001670428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1515944,"threshold_uncertainty_score":0.9768635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06901139239369782,"score_gpt":0.4133139751630915,"score_spread":0.3443025827693937,"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."}}