{"id":"W7019683710","doi":"","title":"Identification of Chemical Feature Profiles in Agricultural and Surface Waters","year":2024,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agriculture and Forestry; Alberta Environment and Parks","keywords":"Orbitrap; Irrigation; Water quality; Surface water; Identification (biology); Agriculture; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001337859,0.0001483898,0.0001791648,0.001509362,0.0003354457,0.0006472974,0.0001875548,0.0002156587,0.0006709836],"category_scores_gemma":[0.0002672093,0.00007824858,0.0001924514,0.001955532,0.0002226771,0.0001770486,0.0002832464,0.0001736736,0.0003025243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007174323,"about_ca_system_score_gemma":0.0007177647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08500659,"about_ca_topic_score_gemma":0.1172725,"domain_scores_codex":[0.9998417,0.000005265918,0.00000513609,0.00004514347,0.00007470983,0.0000280129],"domain_scores_gemma":[0.9998542,0.00001271453,0.00002920909,0.000005453572,0.00008085906,0.00001762378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003514009,0.00007542725,0.6621427,0.0002088447,0.00007434289,0.0004723244,0.001263263,0.001075148,0.2498083,0.0003664845,0.002071006,0.08209078],"study_design_scores_gemma":[0.000003509115,0.00005454717,0.9736512,0.00001367319,0.00002735085,0.0001788309,0.001096047,0.002946334,0.01615029,0.0001211449,0.005739936,0.00001706553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936569,0.0003529683,0.000766471,0.00004044639,0.000005895073,0.00002458389,0.003002904,0.00006248569,0.002087256],"genre_scores_gemma":[0.9867308,0.0006134268,0.004330896,0.00005570984,0.000007877401,0.00003148851,0.005510253,0.0000225668,0.002697008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08500659,"threshold_uncertainty_score":0.1690236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006592445174930526,"score_gpt":0.160715185498171,"score_spread":0.1541227403232405,"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."}}