{"id":"W2612758465","doi":"10.3390/w9050337","title":"The Winter Environmental Continuum of Two Watersheds","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Environmental science; Turbidity; STREAMS; Temperate climate; Water quality; Breakup; Hydrology (agriculture); Watershed; Fluvial; Channel (broadcasting); Aquatic ecosystem; Surface runoff; Snow; Habitat; Physical geography; Ecology; Geology; Geography; Oceanography; Structural basin; Geomorphology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002434291,0.00009336255,0.0000971637,0.000007201513,0.0007181282,0.00004053106,0.0004487207,0.00002447684,0.001219601],"category_scores_gemma":[0.000004407998,0.00004395661,0.00005197008,0.000003943741,0.0009464693,0.0001702547,0.000815828,0.00005875287,0.001565751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817568,"about_ca_system_score_gemma":2.657741e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007738799,"about_ca_topic_score_gemma":0.0001207202,"domain_scores_codex":[0.9992923,0.00002762576,0.0001297974,0.000160955,0.000116545,0.0002727456],"domain_scores_gemma":[0.9994548,0.00001122729,0.00005090016,0.0004568516,8.750081e-7,0.00002532696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006488273,0.00006025221,0.9147516,0.000003866322,0.0001030178,0.00001576854,0.001882545,0.00002998726,0.06377955,0.00007475224,0.01630233,0.002931449],"study_design_scores_gemma":[0.001094095,0.0001040673,0.4389215,0.00000648108,0.00005383155,0.000004023911,0.0001414997,0.00006524358,0.2987895,0.005028874,0.2555436,0.0002473204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631795,0.000008636151,0.00001980756,0.00303829,0.0002591471,0.000103551,0.000001688623,0.000009788615,0.03337958],"genre_scores_gemma":[0.9819189,0.00001737791,0.00003039259,0.0001787763,0.0000318552,0.00001120156,0.0000022458,0.000006558354,0.01780268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4758301,"threshold_uncertainty_score":0.9996934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007678325150611083,"score_gpt":0.2195556076360395,"score_spread":0.2118772824854284,"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."}}