{"id":"W2008861499","doi":"10.1139/x06-165","title":"On the analysis of cubic smoothing spline-based stem curve prediction for forest harvesters","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Felling; Smoothing spline; Smoothing; Mathematics; Spline (mechanical); Statistics; Forestry; Engineering; Geography; Mechanical engineering","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":[0.006940321,0.0007255753,0.001022952,0.001441224,0.0004203005,0.0007311507,0.001073455,0.0009252874,0.001571603],"category_scores_gemma":[0.01937611,0.000419156,0.001092798,0.001470902,0.0004581105,0.0007217399,0.0006356476,0.00119907,0.0004064661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006549303,"about_ca_system_score_gemma":0.001571209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0247435,"about_ca_topic_score_gemma":0.0134446,"domain_scores_codex":[0.9984327,0.0009618626,0.00006411723,0.0002224279,0.0002359777,0.0000828156],"domain_scores_gemma":[0.9809321,0.01669701,0.0005799773,0.0004695214,0.001135269,0.0001861226],"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":[0.000540056,0.0001384655,0.01656389,0.0001613269,0.0001891084,0.0001625791,0.0002596028,0.7186637,0.002248684,0.004007605,0.001060812,0.2560041],"study_design_scores_gemma":[0.000004231427,0.00002680848,0.00159364,0.00000570199,0.000007772609,0.00001204076,0.00001015574,0.9971843,0.0001597204,0.0008656108,0.0001204553,0.000009424799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1703831,0.0009732163,0.8262579,0.0002828386,0.00004712654,0.00007975873,0.0001829657,0.0009221071,0.0008709132],"genre_scores_gemma":[0.7410988,0.0007503642,0.2547962,0.00006768003,0.00007842655,0.0001371642,0.0007932003,0.000198371,0.002079846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0247435,"threshold_uncertainty_score":0.04919893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358159965721901,"score_gpt":0.2754568268033186,"score_spread":0.2418752271460996,"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."}}