{"id":"W4284883747","doi":"10.9734/bpi/ecees/v4/6215f","title":"Potential River Watershed Contaminant Monitoring Indicators","year":2022,"lang":"en","type":"book-chapter","venue":"Book Publisher International (a part of SCIENCEDOMAIN International)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental resource management; Environmental planning; Environmental stewardship; Stewardship (theology); Geography; Sustainability; Ecosystem services; Bioindicator; Environmental science; Ecosystem; Ecology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001915481,0.0005065057,0.0006903667,0.001322478,0.002209477,0.00009303953,0.002613779,0.0004762398,0.04628802],"category_scores_gemma":[0.0003184269,0.0004838798,0.0003959882,0.0001231281,0.0007764071,0.001149218,0.002315739,0.00133615,0.0004356331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431742,"about_ca_system_score_gemma":0.0009416479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007537524,"about_ca_topic_score_gemma":0.0002033241,"domain_scores_codex":[0.993827,0.0001166548,0.001649491,0.0009749712,0.002408226,0.001023619],"domain_scores_gemma":[0.9959168,0.0003278892,0.001720247,0.000503653,0.001322861,0.0002084877],"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":[0.0003496464,0.0002792686,0.0299318,0.0001008955,0.001788371,0.0002271425,0.01417741,0.000180398,0.0001146591,0.5158916,0.4348247,0.002134102],"study_design_scores_gemma":[0.0009738176,0.00012226,0.002784894,0.0001639478,0.00005770346,0.00001630042,0.002151522,0.00003441214,0.00001493657,0.005329275,0.9879096,0.0004413752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002503454,0.0002911583,0.0001059457,0.004483703,0.03761797,0.001050914,0.0004807463,0.0001003262,0.9533658],"genre_scores_gemma":[0.0483943,0.0009892745,0.0005090296,0.001274642,0.002985105,0.0004089345,0.0006391904,0.0001082192,0.9446913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5530848,"threshold_uncertainty_score":0.9997613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882852968752764,"score_gpt":0.3208418282448944,"score_spread":0.2920132985573667,"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."}}