{"id":"W2076783691","doi":"10.1139/x05-305","title":"A multivariate, nonparametric stem-curve prediction method","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Multivariate statistics; Statistics; Diameter at breast height; Nonparametric statistics; Smoothing; Geography; Forestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004255549,0.0009590983,0.001249733,0.001577083,0.000603424,0.0008953506,0.002241869,0.0009052421,0.005872001],"category_scores_gemma":[0.01039997,0.0004880022,0.001303243,0.001819038,0.0006609377,0.001520274,0.001613098,0.001967166,0.001881316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005962637,"about_ca_system_score_gemma":0.00186037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004559051,"about_ca_topic_score_gemma":0.004088524,"domain_scores_codex":[0.9973586,0.001041848,0.0001061963,0.000540831,0.0008031441,0.0001493858],"domain_scores_gemma":[0.9964033,0.001836821,0.0003181215,0.0006440693,0.0006928751,0.0001048763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002618847,0.000239866,0.008096849,0.0001304186,0.0002140705,0.00008947559,0.00009191211,0.2849617,0.003815376,0.03906907,0.007079439,0.65595],"study_design_scores_gemma":[0.00001650208,0.00003959696,0.001708274,0.00001357105,0.00001993483,0.00006830462,0.00001114735,0.9819344,0.0008423563,0.01233034,0.002983546,0.00003191511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001647433,0.00002678068,0.997306,0.00003087197,0.00001326846,0.00002881728,0.0001458408,0.0004392521,0.0003617223],"genre_scores_gemma":[0.118766,0.0001584095,0.8740657,0.0001047983,0.0001356364,0.0004551813,0.001423504,0.0003237164,0.004567019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005872001,"threshold_uncertainty_score":0.02250576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03299536979831694,"score_gpt":0.3121437683456478,"score_spread":0.2791483985473309,"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."}}