{"id":"W4383820526","doi":"10.1111/anhu.12489","title":"Water is dying everywhere","year":2023,"lang":"en","type":"article","venue":"Anthropology & Humanism","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"China; Bay; Indigenous; Geography; Residence; Work (physics); Chronology; Archaeology; Engineering; Ecology; Sociology; Demography","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":[0.0009807766,0.0003757483,0.0002571677,0.0003994876,0.005492076,0.004510043,0.0006401019,0.001471902,0.02537127],"category_scores_gemma":[0.003246491,0.0001349722,0.000238436,0.0005050953,0.005984626,0.006545901,0.003782008,0.004970327,0.004090097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170435,"about_ca_system_score_gemma":0.002993634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006273049,"about_ca_topic_score_gemma":0.01071926,"domain_scores_codex":[0.9989226,0.0003143334,0.0000334848,0.0001624054,0.0003570152,0.0002101651],"domain_scores_gemma":[0.9989513,0.000311904,0.00005458855,0.0001156071,0.000305556,0.000261042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001716617,0.00001407891,0.0003933491,0.0001256186,0.000007642314,0.0001787525,0.01610437,0.00007860165,0.0002943375,0.1588754,0.7801394,0.04377125],"study_design_scores_gemma":[0.000001261473,0.000009647376,0.0001859058,0.00009633342,0.000001446602,0.00004435296,0.007861005,0.00001055479,0.00007122581,0.007006234,0.9847075,0.00000443318],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0102481,0.01530878,0.00189067,0.4741029,0.04350623,0.00003361101,0.0003139592,0.0001804348,0.4544152],"genre_scores_gemma":[0.319621,0.02789376,0.001358107,0.1744171,0.01503896,0.00009563073,0.00043551,0.0003432448,0.4607967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02537127,"threshold_uncertainty_score":0.0848754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295344498176907,"score_gpt":0.3356300121024207,"score_spread":0.3060955622847299,"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."}}