{"id":"W4412701393","doi":"10.3390/w17152253","title":"Household Water Insecurity in the Western Amazon, Amazonas, Brazil: A Preliminary Approach","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundação de Amparo à Pesquisa do Estado do Amazonas","keywords":"Cronbach's alpha; Amazon rainforest; Exploratory factor analysis; Geography; Socioeconomics; Environmental health; Scale (ratio); Population; Context (archaeology); Vulnerability (computing); Psychology; Psychometrics; Medicine; Sociology; Developmental psychology; Cartography","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":[0.004443515,0.000468291,0.0005446829,0.002072836,0.001009664,0.000961982,0.0004669048,0.00040608,0.001338303],"category_scores_gemma":[0.005666401,0.0004404826,0.0007539716,0.002118201,0.001333126,0.001018456,0.001534953,0.0006274598,0.0001360864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716223,"about_ca_system_score_gemma":0.003023812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003376,"about_ca_topic_score_gemma":0.03919213,"domain_scores_codex":[0.998373,0.0008536857,0.0001866994,0.0001257608,0.0002785076,0.0001822449],"domain_scores_gemma":[0.996565,0.001679425,0.0005863279,0.0001417039,0.0007785322,0.0002490513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226394,0.001293163,0.875002,0.001351582,0.00006508436,0.001227926,0.06893297,0.0003364396,0.003762005,0.001502785,0.0002591475,0.04604052],"study_design_scores_gemma":[0.00002745731,0.002084925,0.9235409,0.0005303941,0.00005847044,0.0006690765,0.06756462,0.0007243291,0.0005097677,0.0006387904,0.003619513,0.00003173715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953962,0.0006944433,0.0008278099,0.0001997396,0.000004959851,0.0008444976,0.0001979838,0.000002648015,0.001831618],"genre_scores_gemma":[0.992707,0.0008667122,0.004400718,0.0001119087,0.000007652997,0.001246118,0.0002998984,0.000002345978,0.0003577446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02003376,"threshold_uncertainty_score":0.03983426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797431453849849,"score_gpt":0.2630962473745066,"score_spread":0.2451219328360081,"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."}}