{"id":"W2896072728","doi":"10.3390/w10101472","title":"Gender and Community Mainstreaming in Fog Water Collection Systems","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; McMaster University; Impact","funders":"Global Affairs Canada; Government of Canada","keywords":"Sanitation; Water scarcity; Gender mainstreaming; Scarcity; Water resources; Environmental planning; Data collection; Sustainable development; Mainstreaming; Water resource management; Business; Integrated water resources management; Environmental resource management; Economic growth; Geography; Natural resource economics; Environmental science; Psychology; Political science; Sociology; Economics; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004393897,0.0002329381,0.0002251837,0.0009473947,0.008840541,0.005232486,0.0009117736,0.0008183678,0.00909734],"category_scores_gemma":[0.006911902,0.0001658269,0.0002361221,0.0007262861,0.008813241,0.003380202,0.007509362,0.0009868165,0.0002751954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005268268,"about_ca_system_score_gemma":0.003963226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363087,"about_ca_topic_score_gemma":0.03912589,"domain_scores_codex":[0.9960994,0.002179709,0.00006900482,0.000296727,0.0004944165,0.0008608078],"domain_scores_gemma":[0.9967253,0.001334576,0.0004449111,0.0001402105,0.0002991988,0.00105582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002167159,0.0002920212,0.06923831,0.000121513,0.00001870874,0.000929608,0.7336913,0.00008873668,0.001270072,0.1140281,0.003320743,0.07678411],"study_design_scores_gemma":[0.0000281638,0.0002104644,0.07824993,0.0003100653,0.00001622627,0.0003119797,0.7914132,0.0002611634,0.0007068272,0.02933525,0.09912792,0.00002875277],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769972,0.0008960191,0.001215242,0.007407126,0.0002056891,0.00006972014,0.00003827978,0.00001621893,0.1131546],"genre_scores_gemma":[0.9947147,0.0002007281,0.0002000961,0.0003326921,0.00002208663,0.00002423825,0.000007997479,0.00001292999,0.004484606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02363087,"threshold_uncertainty_score":0.04698664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005912288100706,"score_gpt":0.2644457574865891,"score_spread":0.234386634605582,"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."}}