{"id":"W6930161627","doi":"10.5203/0096509","title":"Environment Canada - Water Quality Monitoring Stations - East Side Rivers and Lake Outlet Water Quality","year":2017,"lang":"en","type":"dataset","venue":"UMANCEOS","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Water quality; River delta; Drainage basin; Shelf ice; Bank","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":[0.001342176,0.001557678,0.001286815,0.003572944,0.001260937,0.00176409,0.002962775,0.0009390151,0.01845249],"category_scores_gemma":[0.005958399,0.0008537158,0.0009976008,0.0156253,0.0005886407,0.0006139597,0.001320128,0.001434341,0.009664706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01276772,"about_ca_system_score_gemma":0.03356887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9371851,"about_ca_topic_score_gemma":0.965237,"domain_scores_codex":[0.9985065,0.0001259091,0.0001352518,0.0002881437,0.0006547028,0.0002895262],"domain_scores_gemma":[0.9935772,0.0006735177,0.000466585,0.000671811,0.004162531,0.0004483725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006726174,0.00002786958,0.009456217,0.0004479128,0.00008603999,0.00002855101,0.00006980667,0.0009208455,0.00007335237,0.0009949126,0.9847607,0.003066464],"study_design_scores_gemma":[0.0002353074,0.00001313493,0.07720052,0.000533317,0.0000684519,0.00004157123,0.0003767364,0.001604912,0.0005506881,0.001082786,0.9182304,0.00006209135],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003146075,0.0000276849,0.00006541099,0.00003269572,0.000007007159,0.00001085278,0.998917,0.00006623754,0.0005586575],"genre_scores_gemma":[0.001450817,0.00005657002,0.0003373259,0.00002242554,0.000002318176,0.0000690351,0.9968625,0.00003084097,0.001168147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06281489,"threshold_uncertainty_score":0.1263696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2174734237948883,"score_gpt":0.3998527043027585,"score_spread":0.1823792805078702,"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."}}