{"id":"W2090830275","doi":"10.1007/s10342-013-0705-2","title":"On the statistical and biological behaviors of nonlinear mixed forest models","year":2013,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Statistics; Basal area; Nonlinear system; Range (aeronautics); Mathematics; Mixing (physics); Computation; Biological data; Mathematical model; Biological system; Ecology; Algorithm; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005867555,0.0007467986,0.0009202558,0.001531712,0.0009664343,0.001480163,0.00161362,0.001404331,0.002005424],"category_scores_gemma":[0.03468898,0.0008435112,0.001072391,0.0006753706,0.003117653,0.003141257,0.00190427,0.001660991,0.000161602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494602,"about_ca_system_score_gemma":0.0009978309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234545,"about_ca_topic_score_gemma":0.01057076,"domain_scores_codex":[0.9992072,0.0004941334,0.00002979332,0.00008244476,0.00008751485,0.00009887212],"domain_scores_gemma":[0.9712732,0.02405738,0.002000127,0.0007494866,0.001042205,0.0008775257],"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":[0.00009257475,0.00005270009,0.00632777,0.00006334205,0.00006780061,0.0001069736,0.000285904,0.7359787,0.0009881866,0.2499931,0.001025641,0.005017413],"study_design_scores_gemma":[0.000005296519,0.00001039208,0.0005434158,0.000006768048,0.000006425244,0.00001413033,0.00001859481,0.9652296,0.00004764786,0.03401787,0.00009088615,0.000008994444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.684202,0.001576446,0.3012745,0.003330962,0.00008909098,0.00006024841,0.0003266092,0.0002050898,0.00893518],"genre_scores_gemma":[0.9864487,0.0007158687,0.00922044,0.0001644941,0.000121376,0.00005058545,0.0002192419,0.00007497944,0.002984349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01234545,"threshold_uncertainty_score":0.03103095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0671406300484231,"score_gpt":0.3062728966514919,"score_spread":0.2391322666030688,"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."}}