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\\nTesting Domestic Rainwater Harvesting as a Measure to Improve Drinking Water Access in a Remote Water-Insecure Community: A Case Study of Black Tickle – Domino, Labrador","year":2017,"lang":"en","type":"report","venue":"Memorial University Research Repository (Memorial University)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rainwater harvesting; Water security; Population; Water quality; Measure (data warehouse); Safeguard; Sustainable development; Indigenous; Water use; Water conservation","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":[0.0007562487,0.0003271527,0.000229642,0.0006604833,0.007726068,0.001638337,0.001366735,0.0009515837,0.002158422],"category_scores_gemma":[0.00120531,0.0002328317,0.0002005359,0.0009553222,0.002859424,0.0006086619,0.001857297,0.0009613233,0.0002180765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004477865,"about_ca_system_score_gemma":0.004886277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2182055,"about_ca_topic_score_gemma":0.5275202,"domain_scores_codex":[0.9993604,0.0002174187,0.00001540575,0.00004429921,0.00006873108,0.0002937888],"domain_scores_gemma":[0.9994581,0.0001913199,0.0001009457,0.00002313539,0.00006931393,0.0001572002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001805141,0.001455671,0.133762,0.0006180594,0.00004695932,0.06520268,0.7021317,0.0004198267,0.01222535,0.004824244,0.0049015,0.07423147],"study_design_scores_gemma":[0.00001195604,0.0002395984,0.0607154,0.000151662,0.00001600631,0.002949077,0.9220445,0.0001644382,0.001051318,0.0001726442,0.01246382,0.00001956675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948044,0.0001873471,0.0001087442,0.0006936417,0.000004827994,0.0000585457,0.00002776991,0.000002882119,0.004111755],"genre_scores_gemma":[0.9945112,0.0007884844,0.0004057616,0.0003140692,0.000006862218,0.00004727476,0.00002960405,0.000005458602,0.00389122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7817945,"threshold_uncertainty_score":0.4338708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959129246275078,"score_gpt":0.3104160682258866,"score_spread":0.2608247757631358,"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."}}