{"id":"W2138807937","doi":"10.1186/2197-5620-1-9","title":"Developing a dynamic growth model for teak plantations in India","year":2014,"lang":"en","type":"article","venue":"Forest Ecosystems","topic":"Forest ecology and management","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Tectona; Basal area; Mathematics; Autoregressive model; Process (computing); Variable (mathematics); Econometrics; Computer science; Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003643467,0.0001044297,0.0001362651,0.00007540338,0.0001183308,0.00001726085,0.0001963198,0.00007138988,0.00004265236],"category_scores_gemma":[0.00005092588,0.0001008203,0.00003289366,0.0001284545,0.00003365944,0.0001433959,0.00008638373,0.00006002471,0.0003180084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408031,"about_ca_system_score_gemma":0.00001339342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002192258,"about_ca_topic_score_gemma":0.0384083,"domain_scores_codex":[0.9991208,0.00002964079,0.0002290825,0.0002400102,0.00009064429,0.0002898766],"domain_scores_gemma":[0.9996696,0.00007224914,0.00007247787,0.0001376269,0.000004788092,0.00004330382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003034321,0.00007953865,0.3276443,0.0001635861,0.00002008203,0.000004139595,0.0007267608,0.1104682,0.00004187353,0.5559952,0.004538428,0.0002876095],"study_design_scores_gemma":[0.0004009928,0.00003319661,0.1835526,0.00002212322,0.000005586707,0.000002664488,0.00003027141,0.763129,0.000006179296,0.05091259,0.001774363,0.0001304906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5720113,0.000005754466,0.4168139,0.0002204697,0.0002856939,0.0008907255,0.00002031051,0.00005903491,0.009692874],"genre_scores_gemma":[0.9946571,0.000003946106,0.004027256,0.0001725178,0.00001576417,0.0003810322,0.00005093912,0.00001384783,0.0006775984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6526607,"threshold_uncertainty_score":0.9791383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008750127202549796,"score_gpt":0.2229211714010924,"score_spread":0.2141710441985425,"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."}}