{"id":"W4385726829","doi":"10.1126/science.adi0658","title":"Cultural water and Indigenous water science","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Indigenous; Environmental science; Environmental resource management; Environmental planning; Environmental ethics; Natural resource economics; Geography; Ecology; Biology; Economics; Philosophy","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":[0.002165348,0.0002298198,0.0003003763,0.0007040657,0.003872908,0.004003707,0.0005603141,0.001595053,0.009805288],"category_scores_gemma":[0.003178407,0.0001053703,0.0002363743,0.0009302606,0.01386377,0.003899702,0.004169813,0.00252988,0.0005212615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0038099,"about_ca_system_score_gemma":0.006228699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03452658,"about_ca_topic_score_gemma":0.1015644,"domain_scores_codex":[0.9985318,0.0005664765,0.00003644973,0.0001480058,0.0004743943,0.000242952],"domain_scores_gemma":[0.9978954,0.0008418641,0.0001612909,0.0002091735,0.0005002779,0.0003921038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005156837,0.00009322218,0.003888765,0.000764983,0.00004041653,0.0006669079,0.02007062,0.0004500774,0.002048878,0.725737,0.04100307,0.2051844],"study_design_scores_gemma":[0.000008576762,0.0001200964,0.0104198,0.000464614,0.00001673712,0.0003404979,0.02091496,0.0006147415,0.00116336,0.3494413,0.616455,0.00004044043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08050126,0.06214543,0.00751017,0.2281763,0.003324964,0.00005355879,0.00009209878,0.00007409511,0.6181222],"genre_scores_gemma":[0.8375805,0.03621328,0.00427734,0.01920944,0.0009692571,0.00004343031,0.00005140825,0.000047852,0.1016075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03452658,"threshold_uncertainty_score":0.06865126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009036564299087254,"score_gpt":0.2060454347169136,"score_spread":0.1970088704178264,"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."}}