{"id":"W4232217820","doi":"10.5194/bgd-5-1097-2008","title":"Do we miss the hot spots? – The use of very high resolution aerial photographs to quantify carbon fluxes in peatlands","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; Umweltbundesamt; Simon Fraser University; Deutscher Akademischer Austauschdienst; Deutsche Bundesstiftung Umwelt","keywords":"Peat; Biogeochemical cycle; Environmental science; Extrapolation; Boreal; Carbon fibers; Remote sensing; Image resolution; Carbon cycle; Atmospheric sciences; Soil science; Ecosystem; Geology; Geography; Chemistry; Physics; Environmental chemistry; Ecology; Materials science; Optics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001776657,0.0004267274,0.0004013383,0.0007634021,0.0003345777,0.0009938689,0.0004000495,0.000660073,0.001268445],"category_scores_gemma":[0.004131319,0.0002263575,0.000310266,0.0007732176,0.0005118652,0.002267774,0.0006468839,0.00044433,0.0005798587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871989,"about_ca_system_score_gemma":0.0002230677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211018,"about_ca_topic_score_gemma":0.007072014,"domain_scores_codex":[0.999247,0.0002461493,0.00005136574,0.0002003074,0.000182909,0.00007229492],"domain_scores_gemma":[0.9981009,0.0006007865,0.000518768,0.0002973564,0.0003812538,0.0001009563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006265346,0.0002169595,0.6621809,0.0009650099,0.0008421446,0.0008639629,0.00129849,0.009167096,0.06631042,0.000757781,0.002487296,0.2542834],"study_design_scores_gemma":[0.00002639492,0.0003990518,0.9388867,0.0004097229,0.00026274,0.001480823,0.002629295,0.02071905,0.02640075,0.002276159,0.00641044,0.00009892295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687309,0.002600977,0.02520956,0.0005989425,0.00009401893,0.0000433604,0.000419979,0.0001761654,0.002126091],"genre_scores_gemma":[0.9845995,0.0004667392,0.01414096,0.00015874,0.00004556323,0.00001357463,0.00016501,0.00004077975,0.0003691158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00211018,"threshold_uncertainty_score":0.009395957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947028219465176,"score_gpt":0.2483826156700562,"score_spread":0.2089123334754044,"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."}}