{"id":"W2941726747","doi":"10.1177/0042098019834160","title":"‘Without water, there is no life’: Negotiating everyday risks and gendered insecurities in Karachi’s informal settlements","year":2019,"lang":"en","type":"article","venue":"Urban Studies","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Everyday life; Water scarcity; Water security; Sociology; Militant; Human settlement; Politics; Political science; Economic growth; Water resources; Geography; Economics; Law; Agriculture","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":[0.0002779014,0.000159531,0.0002691785,0.00004983343,0.000319924,0.0001043708,0.00014854,0.00008038653,0.0001795663],"category_scores_gemma":[0.0000836864,0.0001117553,0.00003428358,0.00007178696,0.000172892,0.0006182549,0.0001800985,0.0001652152,0.0001074213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005892253,"about_ca_system_score_gemma":0.0000431809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002246456,"about_ca_topic_score_gemma":0.0005755452,"domain_scores_codex":[0.9987364,0.00007010325,0.0002491429,0.0002011732,0.0003099805,0.0004332103],"domain_scores_gemma":[0.999609,0.00004168778,0.0000929228,0.0001194841,0.00008129677,0.0000556013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001869111,0.000008660681,0.8032383,0.00004663407,0.00007737069,0.000001509054,0.1826407,0.000008670047,0.00003567964,0.0004102227,0.01307979,0.0004337666],"study_design_scores_gemma":[0.001825045,0.0001416295,0.6231343,0.0001678289,0.00003404985,9.277365e-7,0.131722,0.00009389167,0.0003438524,0.001282463,0.2406595,0.0005945537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774956,0.004577481,6.489461e-7,0.0003498356,0.0005686189,0.000256269,0.00003096522,0.00003190468,0.01668865],"genre_scores_gemma":[0.9902752,0.001557315,0.0000506609,0.0006724471,0.0002453934,0.0000140053,0.000004488677,0.000009973115,0.007170515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2275797,"threshold_uncertainty_score":0.4557248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436259955260414,"score_gpt":0.3086574667282019,"score_spread":0.2650314712021605,"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."}}