{"id":"W4394418486","doi":"10.6084/m9.figshare.23907963","title":"Stormwater pond water monitoring results","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stormwater; Environmental science; Stormwater management; Hydrology (agriculture); Water resource management; Surface runoff; Geology; Ecology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006794435,0.001091058,0.0008436264,0.002522031,0.0006485448,0.0009800345,0.001234044,0.0009049937,0.02281374],"category_scores_gemma":[0.003518709,0.0004999326,0.0008553319,0.007119032,0.0002392337,0.0004939156,0.0009403832,0.0006413183,0.01334301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004980093,"about_ca_system_score_gemma":0.006859742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7533252,"about_ca_topic_score_gemma":0.8561254,"domain_scores_codex":[0.9990336,0.00005842568,0.0001024175,0.0002089803,0.0004261888,0.0001704266],"domain_scores_gemma":[0.998095,0.0001911048,0.0001837679,0.000211113,0.001153129,0.000165917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009879344,0.00001578965,0.009754261,0.000811105,0.0000760359,0.0000431281,0.00005689767,0.0008697083,0.0002126895,0.0002867533,0.982786,0.004988831],"study_design_scores_gemma":[0.0002517969,0.00002168419,0.1328749,0.0003918187,0.00009243474,0.00006053682,0.0001803762,0.001209708,0.0005434183,0.0004997556,0.8638287,0.00004482004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005296649,0.00004804161,0.00002513699,0.00002972439,0.000006086511,0.00000669254,0.9986603,0.00005178496,0.0006425444],"genre_scores_gemma":[0.001440463,0.00005240469,0.0001050459,0.00001513148,0.000002013058,0.00003085814,0.9973642,0.0000167898,0.0009729741],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7533252,"threshold_uncertainty_score":0.4962551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05991418601834063,"score_gpt":0.2860797785790744,"score_spread":0.2261655925607337,"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."}}