{"id":"W4308908070","doi":"10.1002/ecs2.4272","title":"Winter and summer storms modify chlorophyll relationships with nutrients in seasonally ice‐covered lakes","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Environmental science; Nutrient; Algae; Snow; Chlorophyll a; Winter storm; Storm; Oceanography; Atmospheric sciences; Ecology; Biology; Geography; Geology; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001856542,0.000156665,0.0002257375,0.0002957738,0.0003987738,0.0004208991,0.0001441395,0.0001531274,0.001099483],"category_scores_gemma":[0.000479146,0.0001031637,0.0003047736,0.0004486495,0.0002095747,0.0003432686,0.0004566618,0.0001462789,0.00009831761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855281,"about_ca_system_score_gemma":0.000373206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771514,"about_ca_topic_score_gemma":0.03429399,"domain_scores_codex":[0.9998963,0.00002032331,0.0000101643,0.00002996349,0.00001267152,0.00003064957],"domain_scores_gemma":[0.9997009,0.00006564656,0.0001048715,0.00001806979,0.00004787111,0.00006258163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230255,0.00001908664,0.9931836,0.00001463211,0.00008049358,0.00004369454,0.0002334376,0.0004520969,0.003904898,0.00003695362,0.0001691882,0.001738954],"study_design_scores_gemma":[0.000001518382,0.000009865808,0.9991272,0.000001519136,0.00001143679,0.000007208885,0.0001408795,0.0004743656,0.0001024627,0.0000160718,0.0001060876,0.000001359736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995286,0.00002455622,0.0000480748,0.00001160715,0.000001595006,0.00000102349,0.0002571364,0.00000349091,0.0001238787],"genre_scores_gemma":[0.9993162,0.00001662987,0.00007372008,0.0000100838,0.000002497576,0.000003737112,0.000452761,0.000003151318,0.0001212977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771514,"threshold_uncertainty_score":0.03522402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411398770075846,"score_gpt":0.1816790362215016,"score_spread":0.1675650485207431,"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."}}