{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003176453,0.00008486102,0.0001338409,0.00007488913,0.0001498895,0.00003280255,0.0004532737,0.00002585187,0.001367563],"category_scores_gemma":[0.0003779142,0.00004576926,0.00004198043,0.000133445,0.00109951,0.0001242411,0.0003944929,0.0004622797,0.0003774829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003322175,"about_ca_system_score_gemma":0.00001046667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005578416,"about_ca_topic_score_gemma":0.00005736831,"domain_scores_codex":[0.9979643,0.0008350844,0.0003234446,0.0001402302,0.0004430911,0.0002938402],"domain_scores_gemma":[0.9989412,0.000571931,0.0001078006,0.0001828087,0.00005416265,0.0001420802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005919071,0.001474276,0.4546269,0.00003332082,0.0001141401,0.0009141224,0.0008685687,0.01660589,0.001317175,0.3793863,0.1239895,0.02007789],"study_design_scores_gemma":[0.0003580113,0.001798323,0.9535797,0.00002043628,0.000006861273,0.0000255991,0.000145002,0.00228473,0.00004247708,0.04079261,0.0008816313,0.0000646251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847445,0.00001730524,0.001825648,0.0007677517,0.00004835359,0.0002225013,0.000003613528,0.000003168294,0.01236709],"genre_scores_gemma":[0.9980931,0.0000520182,0.001521778,0.00006569589,0.0000308174,0.000003691375,0.000001335647,0.00001016361,0.0002214318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4989527,"threshold_uncertainty_score":0.9995453,"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."}}