{"id":"W3180393055","doi":"10.3389/frwa.2021.675284","title":"Association Between Subcatchment Land Cover and Ecological Stoichiometry Along a Human Modified Stream Network","year":2021,"lang":"en","type":"article","venue":"Frontiers in Water","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Periphyton; Environmental science; Hydrology (agriculture); Land cover; Watershed; Benthic zone; STREAMS; Ecology; Wetland; Land use; Nutrient; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002854029,0.0001112956,0.0001909624,0.00003257239,0.0001042771,0.00004620135,0.00008656648,0.0001297421,0.00008546499],"category_scores_gemma":[0.000009507016,0.00007497582,0.00003232231,0.0001452517,0.00004637169,0.0001071516,0.0002051722,0.0001387751,0.00004483602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000340036,"about_ca_system_score_gemma":0.000002861656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001101289,"about_ca_topic_score_gemma":0.00003428263,"domain_scores_codex":[0.9988601,0.00008419668,0.0001880072,0.0002937794,0.0002066401,0.0003673056],"domain_scores_gemma":[0.9997446,0.0000225584,0.00003831938,0.0001223489,0.000005100281,0.00006707706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007042323,0.00005520402,0.9902028,0.000003450169,0.00003093066,0.00001899172,0.0001918431,0.002643243,0.00001512617,0.000002103159,0.006237858,0.0005913962],"study_design_scores_gemma":[0.0006440307,0.00003787185,0.9855742,0.000005920097,0.00002814236,9.546534e-7,0.00002698021,0.001264758,0.0002047499,0.007720022,0.004338198,0.0001541151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976904,0.00003255418,0.0005630546,0.0002819727,0.000316695,0.0001000213,0.000006692867,0.00001962175,0.0009889689],"genre_scores_gemma":[0.9964675,0.00002821048,0.001040061,0.000132135,0.00008738448,0.000009988102,0.0001244409,0.000008518262,0.002101733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007717918,"threshold_uncertainty_score":0.3057425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007694688773475136,"score_gpt":0.2069698319570492,"score_spread":0.199275143183574,"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."}}