{"id":"W3133911663","doi":"10.1002/hyp.14109","title":"Turkey Lakes Watershed, Ontario, Canada: 40 years of interdisciplinary whole‐ecosystem research","year":2021,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Watershed; Environmental science; Ecosystem; Temperate rainforest; Forest ecology; Vegetation (pathology); Biogeochemical cycle; Hydrology (agriculture); Geography; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004007355,0.0005976532,0.0007406203,0.005563154,0.004850346,0.003421632,0.001436331,0.0007123346,0.002405627],"category_scores_gemma":[0.002710246,0.0004241661,0.0004325199,0.02277107,0.002144451,0.001614277,0.002574364,0.0006531486,0.0002985212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06162563,"about_ca_system_score_gemma":0.1023525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867702,"about_ca_topic_score_gemma":0.9961925,"domain_scores_codex":[0.9972198,0.0002419372,0.0001510415,0.0005468569,0.001234507,0.0006058139],"domain_scores_gemma":[0.9945698,0.0003703746,0.0003888572,0.0002885069,0.003511775,0.0008705567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002000123,0.0004141451,0.6134581,0.001875098,0.0005466033,0.0004402708,0.01273,0.001465588,0.002767941,0.001861874,0.02516215,0.3390781],"study_design_scores_gemma":[0.00001035315,0.00005312802,0.9566476,0.0003690273,0.00008182928,0.00004061198,0.006110236,0.0003463969,0.0002440868,0.0001921652,0.03587808,0.00002656686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8305736,0.08308186,0.002223356,0.007653893,0.0002870964,0.001033907,0.02793976,0.0002173805,0.04698906],"genre_scores_gemma":[0.8958099,0.05923773,0.008397564,0.002674534,0.0001504539,0.000524075,0.01648843,0.0001063439,0.01661092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06162563,"threshold_uncertainty_score":0.4471273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658802697999443,"score_gpt":0.2586195921546581,"score_spread":0.2320315651746636,"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."}}