{"id":"W1895266861","doi":"10.1093/forestscience/55.3.268","title":"Modeling Stand Density Effects on Taper for Jack Pine and Black Spruce Plantations Using Dimensional Analysis","year":2009,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Black spruce; Jack pine; Forestry; Environmental science; Woody plant; Silviculture; Mathematics; Pinus <genus>; Geography; Ecology; Botany; Taiga; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003834501,0.00009991952,0.0001211968,0.00009829017,0.0005300705,0.00004070329,0.0001545925,0.0000308344,0.00003135102],"category_scores_gemma":[0.0000716295,0.0000855177,0.00003888127,0.0005712092,0.000369215,0.0002711164,0.00009575747,0.00005219457,0.00002519203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040775,"about_ca_system_score_gemma":0.0000173851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006846834,"about_ca_topic_score_gemma":0.0003869719,"domain_scores_codex":[0.9989284,0.00001388763,0.0001154616,0.0003896285,0.0002660086,0.0002866388],"domain_scores_gemma":[0.9996148,0.00006639422,0.00003742416,0.0001650442,0.00001450718,0.0001018524],"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":[0.00002853984,0.00003691258,0.007655239,0.000004009084,0.00001123963,0.000003707435,0.00008488535,0.9683715,0.001654647,0.02196721,0.00008689479,0.00009525863],"study_design_scores_gemma":[0.0002097955,0.0001419212,0.1546276,0.000008256079,0.00008280262,0.000001711061,0.00001104757,0.8210303,0.0002767965,0.02349092,0.0000174799,0.0001013923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647442,0.000007085754,0.1345444,0.0001747918,0.00005471465,0.0002458149,0.000003421687,0.00001476363,0.0002107549],"genre_scores_gemma":[0.9931526,0.000004116536,0.006251062,0.0004862746,0.00001507593,0.000004542067,0.000004099155,0.000002899534,0.00007932971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1473412,"threshold_uncertainty_score":0.4076928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01146804867344313,"score_gpt":0.2525412592616767,"score_spread":0.2410732105882336,"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."}}