{"id":"W2155589521","doi":"10.1371/journal.pone.0028660","title":"How Stand Productivity Results from Size- and Competition-Dependent Growth and Mortality","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Forest ecology and management","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Productivity; Competition (biology); Canopy; Stand development; Growth rate; Crown (dentistry); Density dependence; Biology; Mortality rate; Mathematics; Ecology; Statistics; Demography; Population; Geometry; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001367888,0.0005062449,0.0002379261,0.000439831,0.0003010698,0.001180207,0.0007821717,0.0006542063,0.001395421],"category_scores_gemma":[0.003518358,0.0002071943,0.000474685,0.0003484119,0.0007609375,0.0006866411,0.0004396956,0.0002727656,0.0003722367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259135,"about_ca_system_score_gemma":0.0008523774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03121632,"about_ca_topic_score_gemma":0.04682523,"domain_scores_codex":[0.9995498,0.00007920476,0.00001809499,0.0001432284,0.0000878771,0.0001217795],"domain_scores_gemma":[0.9982188,0.0007338475,0.0005014529,0.0001045658,0.0002235126,0.0002178041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001346382,0.00007292518,0.7675378,0.0001005146,0.0002113749,0.0003047877,0.0002940487,0.188936,0.01610425,0.005757636,0.001276045,0.01926993],"study_design_scores_gemma":[0.00003303351,0.0001432149,0.6606443,0.00003409024,0.0001412616,0.0004081136,0.0002730548,0.3240705,0.002865579,0.009241932,0.002078455,0.00006652532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848897,0.0003708974,0.01054453,0.0002109464,0.00001063639,0.00001859047,0.0007926011,0.00004672787,0.003115343],"genre_scores_gemma":[0.9986817,0.0001221932,0.0004829438,0.00002331286,0.000003782224,0.000006705825,0.0001891005,0.000008492105,0.000481699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03121632,"threshold_uncertainty_score":0.06206924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03439254124865204,"score_gpt":0.1903735981840927,"score_spread":0.1559810569354407,"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."}}