{"id":"W6927164537","doi":"10.25976/y9yi-no57","title":"Seasonal Monitoring of Smith Creek and Scotty Creek, 2019-2021","year":2024,"lang":"en","type":"dataset","venue":"DataStream","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Water quality; STREAMS; Seasonality; General partnership","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":[0.0008059373,0.0003533069,0.0003374485,0.0011741,0.0006122942,0.0006653836,0.001161419,0.0004980343,0.002850746],"category_scores_gemma":[0.001629728,0.0002325611,0.0002784175,0.002805924,0.0002085064,0.000373299,0.0008527856,0.0003973803,0.001074926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002501368,"about_ca_system_score_gemma":0.004511077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5727906,"about_ca_topic_score_gemma":0.7802864,"domain_scores_codex":[0.9994668,0.00004699741,0.00003390282,0.0001400045,0.0002150341,0.00009721683],"domain_scores_gemma":[0.9983059,0.0001001892,0.0002539191,0.0001112979,0.0009623451,0.0002663581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004423652,0.0001871194,0.6558721,0.0005033478,0.0001960094,0.0004034028,0.001094906,0.002230904,0.002779152,0.0008494752,0.2961003,0.03934091],"study_design_scores_gemma":[0.0000466701,0.00002643579,0.9134768,0.00007559681,0.00003162423,0.00006129207,0.00064811,0.002096526,0.000866587,0.0001532408,0.08249456,0.00002255698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2785519,0.0003899067,0.001202444,0.0007380361,0.00009635142,0.0001711352,0.7082943,0.0003791842,0.01017683],"genre_scores_gemma":[0.3167255,0.0004189815,0.006026602,0.000394402,0.00006273025,0.0005469752,0.6626755,0.0001104715,0.01303888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5727906,"threshold_uncertainty_score":0.8594506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017243891525911,"score_gpt":0.2862340125419645,"score_spread":0.2689901210160535,"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."}}