{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236338,0.0001120298,0.0001309558,0.00001790113,0.000702501,0.00006460612,0.00007616997,0.0001290909,0.0001486879],"category_scores_gemma":[0.000007692967,0.00007407665,0.0000125998,0.00002997895,0.0001872758,0.0001152513,0.0001964227,0.0004691269,0.00000106057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002137806,"about_ca_system_score_gemma":0.000007104968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326077,"about_ca_topic_score_gemma":0.00002169177,"domain_scores_codex":[0.9990343,0.0001075227,0.0000704054,0.0002653386,0.0002892501,0.0002331243],"domain_scores_gemma":[0.9997662,0.00003687332,0.00003211452,0.00007471487,0.000002683758,0.00008741865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003566055,0.00006456464,0.9330429,0.00002699691,0.00005292255,0.0001280718,0.0499026,0.0002472217,0.002061707,0.003790907,0.009212624,0.001112839],"study_design_scores_gemma":[0.0006268584,0.000349594,0.2474092,0.00001186838,0.00003438957,0.0000190253,0.003781067,0.00004939329,0.0003883611,0.003864483,0.7431428,0.0003229348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921261,0.002120949,0.00001474531,0.003702841,0.00006376726,0.0001090695,0.00001487926,0.00002015769,0.001827514],"genre_scores_gemma":[0.9970941,0.0001977438,0.0001100878,0.000978504,0.00009544394,0.000007949595,0.00001334297,0.000005966659,0.001496886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7339302,"threshold_uncertainty_score":0.5403141,"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."}}