{"id":"W2068853186","doi":"10.1139/x02-101","title":"A new way to account for the effect of source-sink spatial relationships in whole plant carbon allocation models","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parameterized complexity; Sink (geography); Exponent; Mathematics; Constant (computer programming); Function (biology); Statistics; Computer science; Combinatorics","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":[0.001574698,0.001083358,0.0008388878,0.0006930719,0.0004902511,0.001104703,0.002015526,0.0009802221,0.00299004],"category_scores_gemma":[0.004848174,0.0006163982,0.002029073,0.001003708,0.0005531969,0.002774173,0.001528471,0.001997296,0.0004971204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006721872,"about_ca_system_score_gemma":0.001583319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007578102,"about_ca_topic_score_gemma":0.008283685,"domain_scores_codex":[0.999584,0.0001180385,0.00003084652,0.0001159728,0.000116036,0.00003504598],"domain_scores_gemma":[0.9990434,0.0004365352,0.00006760954,0.0002335181,0.0001642736,0.00005465103],"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":[0.00008959425,0.0001210432,0.002016648,0.0001064449,0.000154154,0.0001924354,0.000130188,0.9005222,0.01974531,0.02932972,0.0006235982,0.04696869],"study_design_scores_gemma":[0.000009477063,0.00002846846,0.0003857368,0.000004688696,0.00002002947,0.0000407655,0.000005677555,0.9895655,0.0009656257,0.007695847,0.001264662,0.00001357263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02140504,0.00006457014,0.9768249,0.00006617254,0.00003524059,0.00003141599,0.000101836,0.0004048644,0.001065934],"genre_scores_gemma":[0.5482684,0.0003291047,0.4427714,0.00014169,0.00009062956,0.0002821101,0.0004406903,0.0006010153,0.007074863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007578102,"threshold_uncertainty_score":0.01506799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07108058720910651,"score_gpt":0.2627132178136386,"score_spread":0.1916326306045321,"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."}}