{"id":"W2991151531","doi":"10.3390/f10121074","title":"Autoregressive Modeling of Forest Dynamics","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simons Foundation","keywords":"Autoregressive model; STAR model; Econometrics; Markov chain; Mean reversion; Statistics; Bayesian probability; Random walk; Basal area; Time series; Mathematics; Computer science; Autoregressive integrated moving average; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001143398,0.0005899528,0.0006996001,0.0007464731,0.0003495875,0.001103421,0.001511399,0.0006659787,0.002103241],"category_scores_gemma":[0.003018552,0.0002629135,0.0007549864,0.001308544,0.0004785486,0.001071957,0.000404814,0.001003435,0.0006029219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007886,"about_ca_system_score_gemma":0.001146104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05078654,"about_ca_topic_score_gemma":0.04829435,"domain_scores_codex":[0.9994704,0.0001631454,0.00002327707,0.0001351735,0.0001329667,0.0000750553],"domain_scores_gemma":[0.999258,0.0003953728,0.0001441065,0.00005721119,0.0001248128,0.00002041514],"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":[0.0000171927,0.00003470077,0.004080663,0.00006145485,0.00006821888,0.0001156272,0.0001014492,0.8657322,0.001050239,0.09847533,0.001794684,0.02846828],"study_design_scores_gemma":[0.000003301248,0.000009289518,0.001339037,0.000009370828,0.00001489558,0.00002643732,0.00001390034,0.9783084,0.0001352706,0.01770827,0.002419869,0.00001201678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04936207,0.001024246,0.9386629,0.0003741746,0.000084427,0.00006349735,0.001077382,0.0005640639,0.008787233],"genre_scores_gemma":[0.8657901,0.002094034,0.113491,0.0001900214,0.0001438679,0.0002024898,0.001938771,0.0001724767,0.01597724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05078654,"threshold_uncertainty_score":0.1009819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005038971384062152,"score_gpt":0.2055150204943448,"score_spread":0.2004760491102827,"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."}}