{"id":"W1994363633","doi":"10.1139/x09-103","title":"The stock recovery rate in a Central African rain forest: an index of sustainability based on projection matrix models","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Felling; Stock (firearms); Logging; Mathematics; Environmental science; Larch; Forest management; Forestry; Agroforestry; Ecology; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003099095,0.00009455499,0.0001962338,0.0001411307,0.0005271868,0.0000626729,0.0003862946,0.0000923096,0.00001739598],"category_scores_gemma":[0.0009084738,0.00003647442,0.00008739668,0.0007847047,0.0003352296,0.000196039,0.00001326415,0.0004668132,3.988596e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006401,"about_ca_system_score_gemma":0.000862006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01362886,"about_ca_topic_score_gemma":0.7122444,"domain_scores_codex":[0.9978945,0.0006130537,0.0003355469,0.0001563112,0.0002815937,0.0007190492],"domain_scores_gemma":[0.9983141,0.0006152097,0.0001330934,0.00008065513,0.0005154397,0.0003415071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001070251,0.000156294,0.9334936,0.000008983207,0.00001583874,0.0001091014,0.000578484,0.03187723,0.000141176,0.001341775,0.000720328,0.03048692],"study_design_scores_gemma":[0.0002002396,0.002895761,0.9588407,0.00002086896,0.000002418075,0.000003721202,0.002745497,0.005919561,0.00000951819,0.0286066,0.0006887796,0.00006636127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919561,0.00009245821,0.0000115097,0.007144137,0.0000511922,0.0003630558,0.00001297137,0.000002505894,0.0003661318],"genre_scores_gemma":[0.9996916,0.00001844027,0.00000887775,0.00004525149,0.00009652766,0.000008385075,0.00000182893,9.120036e-7,0.0001281996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6986155,"threshold_uncertainty_score":0.9929395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640697045955648,"score_gpt":0.3021039754272024,"score_spread":0.2556970049676459,"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."}}