{"id":"W4408701800","doi":"10.1088/2634-4505/adc3bc","title":"Convenience over control: qualitative insights from water system users in a rural setting in Gujarat, India","year":2025,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; Hudbay Minerals (Canada)","funders":"","keywords":"Qualitative research; Control (management); Geography; Environmental planning; Computer science; Sociology; Social science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0006168546,0.0001630699,0.0002138974,0.0003355256,0.0000959298,0.00007048967,0.0001458814,0.0001103054,0.00003459306],"category_scores_gemma":[0.00005915337,0.000130955,0.00002557817,0.0002283924,0.0002456171,0.0002882721,0.0001739105,0.0004426311,0.000002317513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224855,"about_ca_system_score_gemma":0.00001777239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002655872,"about_ca_topic_score_gemma":0.00005406497,"domain_scores_codex":[0.9982345,0.0004523723,0.0003058669,0.0002822184,0.0002752746,0.0004498461],"domain_scores_gemma":[0.9995334,0.000184003,0.00001546938,0.0001918694,0.00001246368,0.00006285014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002675453,0.00005198728,0.8668438,0.0006392562,0.00006054635,0.00007811961,0.05990301,0.06610976,0.001557109,0.001138207,0.0001000108,0.00325069],"study_design_scores_gemma":[0.00158958,0.00003444955,0.8436786,0.00007202355,0.00000574951,2.890262e-7,0.07950498,0.06518053,0.0006948424,0.008503818,0.0005474223,0.0001877253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976198,0.0002056719,0.0007484668,0.00007701056,0.00004487075,0.0007122195,0.00001381148,0.0000324513,0.0005457022],"genre_scores_gemma":[0.9996961,0.00001977425,0.00006829984,0.00002348576,0.00001464568,0.00006788081,0.00004030316,0.00001114928,0.0000583943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02316517,"threshold_uncertainty_score":0.5340192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003841850684484263,"score_gpt":0.2550893814422053,"score_spread":0.251247530757721,"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."}}