{"id":"W4323874708","doi":"10.5194/bg-6-225-2009","title":"Using MODIS derived fPAR with ground based flux tower measurements to derive the light use efficiency for two Canadian peatlands","year":2009,"lang":"en","type":"article","venue":"Carleton University's Institutional Repository (MacOdrum Library, Carleton University)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Trent University; McGill University","funders":"","keywords":"Eddy covariance; Photosynthetically active radiation; Peat; Bog; Environmental science; Atmospheric sciences; Ombrotrophic; Moderate-resolution imaging spectroradiometer; Ecosystem; Geology; Physics; Botany; Ecology; Biology; Photosynthesis","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000124421,0.0004152209,0.0003321283,0.0005095954,0.002446003,0.0001823796,0.0009514576,0.0001906874,0.0002020704],"category_scores_gemma":[0.000022428,0.000377659,0.000214528,0.001075612,0.0004374395,0.001644227,0.0002053974,0.0002439512,0.00001187569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863741,"about_ca_system_score_gemma":0.001008244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009695805,"about_ca_topic_score_gemma":0.007049984,"domain_scores_codex":[0.9974883,0.0001716118,0.0002113232,0.000843881,0.0005110914,0.0007737629],"domain_scores_gemma":[0.9984271,0.00008375666,0.0001486625,0.0004996045,0.00009036701,0.0007505138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007103138,0.001017773,0.3298894,0.00005443253,0.0007215661,0.007694332,0.002945111,0.4505857,0.1489602,0.01650119,0.03302971,0.0014975],"study_design_scores_gemma":[0.007325926,0.001307029,0.07963727,0.0001711283,0.0006736309,0.0002359547,0.001575933,0.006793109,0.01908017,0.00004262711,0.8812997,0.001857507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010573,0.00001977233,0.009650404,0.00172816,0.0003972224,0.0009386832,0.0001146197,0.0001264552,0.08596738],"genre_scores_gemma":[0.988912,0.000004252716,0.001840195,0.001395975,0.0001169664,0.000001235538,0.000154031,0.0000225019,0.007552813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.84827,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100536117071371,"score_gpt":0.197347925944824,"score_spread":0.1763425647741103,"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."}}