{"id":"W2922363188","doi":"10.1139/cjfr-2018-0438","title":"Modification of a photosynthetic light-response (PLR) model for modeling the vertical gradient in the response of crown PLR curves","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northeast Forestry University; Ministry of Science and Technology of the People's Republic of China","keywords":"Akaike information criterion; Mathematics; Crown (dentistry); Statistics; Mean squared error; Goodness of fit; Function (biology); Specific leaf area; Biological system; Botany; Photosynthesis; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008518732,0.0007942549,0.0007193184,0.0003931151,0.0002586601,0.0005624882,0.002038772,0.001077826,0.0008693803],"category_scores_gemma":[0.001452271,0.0003425002,0.001157602,0.0005057973,0.0003230377,0.000782225,0.0005645318,0.0008550546,0.0003155991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008446762,"about_ca_system_score_gemma":0.0008280536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009415333,"about_ca_topic_score_gemma":0.008687004,"domain_scores_codex":[0.9996074,0.0001026547,0.00001948378,0.0001509117,0.00008249823,0.00003706987],"domain_scores_gemma":[0.999599,0.0001880792,0.00007956594,0.00003659916,0.00007805908,0.00001862064],"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":[0.00004717709,0.00004354073,0.001556469,0.00005427342,0.00005835379,0.00006901957,0.00004737493,0.9709181,0.01033272,0.003171299,0.0002691144,0.01343261],"study_design_scores_gemma":[0.000002496416,0.00001488288,0.0004383764,0.000001828002,0.000009220629,0.00001492085,0.000001956931,0.9985318,0.0003230005,0.0004427238,0.0002123258,0.000006383052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08068077,0.0002772091,0.9159854,0.000151279,0.00003163176,0.00008996684,0.0002113426,0.0005244095,0.002048054],"genre_scores_gemma":[0.8080035,0.0003109126,0.1853825,0.0001167487,0.00003777484,0.0003870645,0.0004222024,0.0001719893,0.005167388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009415333,"threshold_uncertainty_score":0.01872104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04988715691944207,"score_gpt":0.293428966163719,"score_spread":0.2435418092442769,"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."}}