{"id":"W2604629008","doi":"10.1002/eap.1552","title":"Inland waters and their role in the carbon cycle of Alaska","year":2017,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Park Service; U.S. Geological Survey; National Research Program for Biopharmaceuticals","keywords":"Environmental science; Biogeochemical cycle; Hydrology (agriculture); Carbon cycle; Climate change; Flux (metallurgy); Latitude; Greenhouse gas; Precipitation; Carbon dioxide; Ecosystem; Oceanography; Physical geography; Atmospheric sciences; Ecology; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614093,0.0001851015,0.0001338127,0.0007372445,0.0004900267,0.001016007,0.0001342008,0.0001535397,0.0007584304],"category_scores_gemma":[0.000436708,0.0001069581,0.0001324907,0.00100897,0.0002894599,0.000622912,0.000438009,0.0001207065,0.00009415918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007197949,"about_ca_system_score_gemma":0.0003752155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04788814,"about_ca_topic_score_gemma":0.08638482,"domain_scores_codex":[0.9999266,0.00002275455,0.00001077431,0.0000165436,0.00001337202,0.0000100336],"domain_scores_gemma":[0.9997831,0.00002957845,0.00007991805,0.00001376528,0.00006602378,0.00002757598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216943,0.00002721278,0.9607116,0.00009764362,0.0001356056,0.0002719479,0.0008797389,0.006104359,0.01005142,0.002570697,0.0002717364,0.01875627],"study_design_scores_gemma":[0.000003733582,0.00002680336,0.9844165,0.00005883086,0.00006252344,0.0001002108,0.001994639,0.005196162,0.001073657,0.003126221,0.003924011,0.00001664495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948454,0.0009064274,0.0003332109,0.00008433436,0.000007968957,0.000002081155,0.0003577539,0.000009923885,0.003453052],"genre_scores_gemma":[0.9989592,0.0003379251,0.0002860896,0.000011644,0.000003335699,0.000001238329,0.0001098886,0.000002507647,0.0002882276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04788814,"threshold_uncertainty_score":0.09521878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559460201511938,"score_gpt":0.2365809484952714,"score_spread":0.2109863464801521,"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."}}