{"id":"W2061589950","doi":"10.1016/j.ecolmodel.2011.11.020","title":"Corrigendum to “Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison” [Ecol. Model. 222 (17) (2011) 3236–3249]","year":2011,"lang":"en","type":"erratum","venue":"Ecological Modelling","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; University of British Columbia; Natural Resources Canada; McMaster University; University of Alberta","funders":"","keywords":"Environmental science; Temperate climate; Ecosystem; Productivity; Temperate rainforest; Temperate forest; Primary production; Ecosystem model; Ecology; Climatology; Physical geography; Geography; Biology; Geology","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":[0.003031686,0.002924932,0.002681482,0.003416589,0.003512224,0.002994898,0.004317233,0.005670296,0.08023763],"category_scores_gemma":[0.03336159,0.001337513,0.002868528,0.002921594,0.001575785,0.002512579,0.002846533,0.006198495,0.05197221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004547208,"about_ca_system_score_gemma":0.005048007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0921803,"about_ca_topic_score_gemma":0.1164488,"domain_scores_codex":[0.9962983,0.0006103691,0.0006555419,0.00052109,0.001634212,0.0002804321],"domain_scores_gemma":[0.9750611,0.003634477,0.0007133647,0.001747313,0.01825859,0.0005851518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001830791,0.0000100849,0.00006087774,0.00006129128,0.0000082725,0.00008705568,0.00001009261,0.0001528525,0.00005327324,0.0003608624,0.9953257,0.003851352],"study_design_scores_gemma":[0.00005225141,0.00003597786,0.002525545,0.0002671324,0.00005949518,0.0002459285,0.00007842347,0.001281232,0.0005439711,0.002102306,0.9927338,0.00007383754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002658403,0.00121148,0.002135152,0.03353108,0.9495614,0.00006477712,0.002897786,0.0006361949,0.009696254],"genre_scores_gemma":[0.01103164,0.006548875,0.01098036,0.09028213,0.1594878,0.000512811,0.01124566,0.003188679,0.706722],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0921803,"threshold_uncertainty_score":0.2684216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745999212983449,"score_gpt":0.250841018185893,"score_spread":0.2133810260560585,"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."}}