{"id":"W7134251801","doi":"10.1111/j.1365-2486.2011.02562.x\">https://dx.doi.org/10.1111/j.1365-2486.2011.02562.x</a","title":"Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis","year":2011,"lang":"","type":"article","venue":"University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenology; Evergreen; Vegetation (pathology); Seasonality; Biosphere; Deciduous; Ecosystem; Biosphere model; Carbon cycle","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":[0.00297708,0.0009019704,0.0007637587,0.0003720256,0.0003323253,0.001051875,0.0006483792,0.0005071621,0.002230348],"category_scores_gemma":[0.007653451,0.0003497339,0.0007705278,0.0007168733,0.000221447,0.001131828,0.0005785821,0.000550042,0.000362761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704648,"about_ca_system_score_gemma":0.001505098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1631961,"about_ca_topic_score_gemma":0.139757,"domain_scores_codex":[0.9992423,0.000373623,0.00004624025,0.0001468652,0.0001498879,0.00004116072],"domain_scores_gemma":[0.9933158,0.003566461,0.0003087982,0.0008371575,0.001722347,0.0002494855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008387961,0.0001603477,0.1476809,0.0003841904,0.0009279227,0.0001105096,0.0002144421,0.7980843,0.005030299,0.001287422,0.007387867,0.03789305],"study_design_scores_gemma":[0.0003693021,0.000180148,0.09888697,0.00008296806,0.0004650617,0.00002774604,0.0002885912,0.8845764,0.004399804,0.00213769,0.008523999,0.00006130074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625142,0.001276742,0.01333151,0.001085863,0.00006087184,0.0001628409,0.01351568,0.001024197,0.007027945],"genre_scores_gemma":[0.9781402,0.0002714176,0.01223514,0.000196623,0.00002009855,0.0001132703,0.007508055,0.0001844126,0.001330801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1631961,"threshold_uncertainty_score":0.3244925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442759178451228,"score_gpt":0.1898687367305872,"score_spread":0.1654411449460749,"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."}}