{"id":"W2092999232","doi":"10.5558/tfc85897-6","title":"Defining tree taper: A challenge for growth and yield modelling in Ontario","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute","funders":"","keywords":"Yield (engineering); Tree (set theory); Growth model; Geography; Forestry; Mathematics; Mathematical economics; Combinatorics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001094193,0.0002981355,0.0004341928,0.0002654851,0.001676052,0.001577683,0.001386366,0.0006716803,0.001427297],"category_scores_gemma":[0.003687583,0.0002868959,0.0003795309,0.0008110343,0.000698084,0.001349909,0.0007329768,0.0006880305,0.0001542352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02117133,"about_ca_system_score_gemma":0.01959572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9623313,"about_ca_topic_score_gemma":0.9818356,"domain_scores_codex":[0.9995015,0.0001095172,0.00002980096,0.00008187761,0.0001830746,0.00009418754],"domain_scores_gemma":[0.9986234,0.0005094137,0.0001377463,0.0001042212,0.0005187847,0.0001064116],"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":[0.00008027152,0.00007475182,0.08601846,0.0001498953,0.00005553071,0.0001903653,0.001664332,0.8500735,0.002847595,0.01031357,0.003847337,0.04468434],"study_design_scores_gemma":[0.00001764608,0.00004384084,0.04606051,0.00004779988,0.0000310071,0.00005668938,0.001690257,0.9374709,0.001311465,0.003734555,0.009486824,0.00004843003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406735,0.0003724722,0.03836138,0.001694747,0.00002201089,0.0001199478,0.002213352,0.0003228313,0.01621982],"genre_scores_gemma":[0.9829521,0.0002157621,0.01248584,0.00006318068,0.000005744735,0.00004507437,0.0005891398,0.00008900137,0.003554161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9623313,"threshold_uncertainty_score":0.1536095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842425750838493,"score_gpt":0.2098506535625383,"score_spread":0.1914263960541533,"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."}}