{"id":"W2601341001","doi":"10.1002/2016jg003525","title":"Continental‐scale variation in controls of summer CO<sub>2</sub> in United States lakes","year":2017,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"U.S. Environmental Protection Agency","keywords":"Co-occurrence; Climate change; Scale (ratio); Physical geography; Spatial variability; Environmental science; Spatial ecology; Global change; Ecology; Geography; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003100862,0.0001287261,0.0001589136,0.0004439428,0.0002616943,0.0004644211,0.000175434,0.0001557538,0.0006109063],"category_scores_gemma":[0.0007064716,0.0001484493,0.0001594915,0.0006162834,0.0003390816,0.00022864,0.0003796709,0.0001388262,0.0000602152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175972,"about_ca_system_score_gemma":0.0002627849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07424099,"about_ca_topic_score_gemma":0.1262137,"domain_scores_codex":[0.9998826,0.00003770972,0.000008446985,0.00003798167,0.00001312133,0.0000201448],"domain_scores_gemma":[0.9995453,0.0001105465,0.0001423065,0.00004360231,0.00009509815,0.00006317389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009169785,0.00001551633,0.9938458,0.000007368828,0.0001160698,0.00003749706,0.0002937072,0.001037272,0.002107101,0.0001376986,0.0003008949,0.002009285],"study_design_scores_gemma":[0.000001112336,0.000003975195,0.9989225,0.000001086905,0.000006256955,0.000005194669,0.00008335728,0.000780991,0.00007499827,0.00002174857,0.00009713646,0.000001602597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995162,0.00002848784,0.00004451594,0.00002597654,0.000001087418,8.187405e-7,0.0001815851,0.000004124724,0.0001970792],"genre_scores_gemma":[0.9997867,0.00001040672,0.00001984546,0.000004556248,9.270449e-7,0.000001075902,0.0001411844,0.00000136174,0.00003392858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07424099,"threshold_uncertainty_score":0.1476177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272687968055787,"score_gpt":0.3025576691720044,"score_spread":0.2698307894914466,"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."}}