{"id":"W4280542047","doi":"10.1177/25148486221099801","title":"<i>Water with larvae</i> : Hydrological fertility, inequality, and mosquito urbanism","year":2022,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Aedes aegypti; Urbanization; Chikungunya; Context (archaeology); Dengue fever; Geography; Vector (molecular biology); Population; Aedes; Zika virus; Ecology; Socioeconomics; Fertility; Biology; Larva; Sociology; Demography; Virology; Virus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007472987,0.0001435466,0.000119748,0.0008309808,0.003135907,0.003229708,0.0004264946,0.0004363791,0.001926265],"category_scores_gemma":[0.0009819762,0.00009431392,0.000108256,0.001205776,0.00697871,0.00298403,0.002383728,0.001100198,0.00005664683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003199822,"about_ca_system_score_gemma":0.001180667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04525885,"about_ca_topic_score_gemma":0.08576073,"domain_scores_codex":[0.9995534,0.0002909816,0.000008551699,0.00002590784,0.00002820289,0.00009283095],"domain_scores_gemma":[0.9994819,0.0002357439,0.0001200612,0.00001531745,0.00004297143,0.0001040237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000419119,0.0001223934,0.1394603,0.0003048346,0.00001825388,0.0005196505,0.4643847,0.0004056401,0.0003021545,0.3468577,0.01311813,0.03446437],"study_design_scores_gemma":[0.00000318449,0.00003034247,0.1038619,0.0004197675,0.00001092272,0.0002129842,0.8321529,0.000452108,0.0001298787,0.01998492,0.04272515,0.00001610006],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600347,0.01074357,0.0007981306,0.06051008,0.0001667992,0.00002426857,0.0001798299,0.000007793152,0.0675348],"genre_scores_gemma":[0.9969291,0.001806139,0.00009514576,0.0005498308,0.00004094807,0.00000879179,0.00001531145,0.000001640826,0.000553116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04525885,"threshold_uncertainty_score":0.08999085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009438772574200956,"score_gpt":0.2303465185979227,"score_spread":0.2209077460237217,"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."}}