{"id":"W3188062612","doi":"","title":"The Upper Penticton Creek Watershed Experiment, BC, Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Hydrology (agriculture); Geology; Geography; Environmental science; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007243069,0.0004458704,0.0006747771,0.0005134509,0.004986578,0.00111648,0.001279238,0.0004537769,0.007963325],"category_scores_gemma":[0.001733254,0.0003705047,0.0002928539,0.001176341,0.000838495,0.0005574027,0.0008002277,0.001169448,0.001857937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0253739,"about_ca_system_score_gemma":0.02959641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898483,"about_ca_topic_score_gemma":0.9983326,"domain_scores_codex":[0.9991663,0.0001048321,0.00002235543,0.0001839629,0.000366595,0.0001559581],"domain_scores_gemma":[0.9972143,0.000128633,0.000104768,0.0001729966,0.001901252,0.0004781807],"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":[0.007626056,0.003731092,0.3873419,0.000317528,0.0004155838,0.000718656,0.002733644,0.003387612,0.01341001,0.005156191,0.4376771,0.1374845],"study_design_scores_gemma":[0.0003889955,0.0001543692,0.9449865,0.00007194468,0.00006946361,0.00006562086,0.001865134,0.001755478,0.001938062,0.0005412833,0.04811533,0.00004782166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148978,0.001012228,0.002247811,0.003770105,0.0004922828,0.001226694,0.1068215,0.0003992698,0.06913234],"genre_scores_gemma":[0.6988979,0.001315012,0.006970663,0.001126819,0.00005367923,0.001170191,0.04307689,0.0002438788,0.247145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0253739,"threshold_uncertainty_score":0.1841015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008522545457602984,"score_gpt":0.2087743992544205,"score_spread":0.2002518537968175,"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."}}