{"id":"W2098417246","doi":"10.1016/j.agrformet.2009.11.004","title":"Simulating gross primary production across a chronosequence of coastal Douglas-fir forest stands with a production efficiency model","year":2009,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chronosequence; Douglas fir; Primary production; Environmental science; Forestry; Production (economics); Agroforestry; Silviculture; Geography; Ecology; Ecosystem; Soil science; Biology; Soil water","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":[0.0008355109,0.0006216209,0.000620192,0.0004342069,0.000560815,0.0008126008,0.001128125,0.001230535,0.001568595],"category_scores_gemma":[0.002087742,0.0007369997,0.001038528,0.0008908148,0.0006074593,0.00065301,0.0004271619,0.0006931478,0.0001345882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189409,"about_ca_system_score_gemma":0.001330795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1405841,"about_ca_topic_score_gemma":0.09916653,"domain_scores_codex":[0.9998342,0.00004465133,0.0000122359,0.00005190811,0.00001288863,0.00004404708],"domain_scores_gemma":[0.9985791,0.0008568336,0.0001339923,0.0001100137,0.0001419688,0.000177983],"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":[0.00006151218,0.0000289908,0.004164018,0.000004465643,0.00002102376,0.00002727936,0.00001164825,0.9946569,0.0004003149,0.0002022782,0.00004625292,0.0003752711],"study_design_scores_gemma":[0.00002645087,0.00002080862,0.002568295,0.000001149387,0.00001192436,0.000005771334,0.0000164571,0.9970114,0.0001621218,0.0001210305,0.0000484844,0.000006058703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995598,0.00003598286,0.00308301,0.00005794331,0.00001191269,0.00000929033,0.0003662799,0.00006049137,0.0007771276],"genre_scores_gemma":[0.9970175,0.000027922,0.002088537,0.00001405362,0.000004393927,0.00001278141,0.0002921621,0.00001606249,0.0005266903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405841,"threshold_uncertainty_score":0.2795317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00637623772389132,"score_gpt":0.2005671323178979,"score_spread":0.1941908945940066,"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."}}