{"id":"W4386768587","doi":"10.32920/24148026.v1","title":"Harvesting rainwater for food security: farmers’ perceptions of the Boardwalk Cisterns Program in Alagoas, Brazil","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Food security; Cistern; Agricultural science; Rainwater harvesting; Geography; Agriculture; Beneficiary; Socioeconomics; Production (economics); Population; Food processing; Agricultural economics; Business; Economics; Environmental health; Biology; Ecology; Food science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008806206,0.000109758,0.0001193837,0.0003096537,0.001256836,0.0007638406,0.0002769154,0.0003259255,0.002301248],"category_scores_gemma":[0.001816355,0.0001430061,0.000124112,0.0004343991,0.0008721706,0.000523729,0.0007526614,0.0003318479,0.00008523979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174207,"about_ca_system_score_gemma":0.001661612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04555437,"about_ca_topic_score_gemma":0.09651363,"domain_scores_codex":[0.9995613,0.0001756719,0.00001676269,0.00004255323,0.0000709633,0.0001327146],"domain_scores_gemma":[0.9990458,0.0002805232,0.0002554612,0.00002250621,0.0001114628,0.0002842688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001568929,0.0005744074,0.6036103,0.0004214435,0.00003701821,0.002403919,0.3349745,0.0002586663,0.01831108,0.001923302,0.001331946,0.03599648],"study_design_scores_gemma":[0.000009076393,0.0002712798,0.4755635,0.000148299,0.0000167712,0.000239915,0.5155529,0.0002790839,0.0005389847,0.0001846737,0.00718068,0.00001495273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986156,0.00005398595,0.00002735413,0.0003948765,0.000001986989,0.000009076568,0.00001194333,9.021049e-7,0.0008842321],"genre_scores_gemma":[0.9994755,0.0001125467,0.00005687392,0.00006890532,0.000001311302,0.000006649289,0.000007719382,5.676939e-7,0.0002698841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04555437,"threshold_uncertainty_score":0.09057844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131258745356381,"score_gpt":0.2635230096304297,"score_spread":0.2422104221768659,"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."}}