{"id":"W2327624860","doi":"10.1139/cjfr-2013-0535","title":"Approaches for estimating stand-level volume using terrestrial laser scanning in a single-scan mode","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Estimator; Volume (thermodynamics); Tree (set theory); Scots pine; Forest inventory; Sampling (signal processing); Statistics; Picea abies; Mathematics; Mode (computer interface); Transect; Standard error; Pinus <genus>; Computer science; Forestry; Geology; Ecology; Geography; Detector; Forest management; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002079917,0.00009512953,0.0001716672,0.0003237764,0.0003692033,0.0001518142,0.0003148241,0.00007266635,0.00002630226],"category_scores_gemma":[0.0007711601,0.00009058275,0.00006376659,0.0004069566,0.0002995997,0.0001721176,0.00002988064,0.0003770357,0.000008580691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000865034,"about_ca_system_score_gemma":0.0005418375,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03687249,"about_ca_topic_score_gemma":0.1718867,"domain_scores_codex":[0.9983687,0.0001465605,0.0003371395,0.0001850099,0.0003655319,0.0005970629],"domain_scores_gemma":[0.9989688,0.0001764258,0.0001146343,0.0001854077,0.00004344192,0.0005113299],"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":[0.00007726982,0.00005343724,0.1442569,0.00002569212,0.00001683608,0.00002897972,0.00186278,0.7404479,0.001430169,0.0001519621,0.005455798,0.1061922],"study_design_scores_gemma":[0.0006990011,0.0001794844,0.03041459,0.000160786,0.000007855315,0.00006241372,0.0003349945,0.957723,0.0002239603,0.00235606,0.007688182,0.0001496527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399765,0.00001952285,0.05671177,0.0004679867,0.0001050776,0.0002296343,0.000009902291,0.00000380779,0.00247577],"genre_scores_gemma":[0.9289029,3.129569e-7,0.07061573,0.00001224641,0.0002801975,0.000002128102,0.000002710027,0.00001976663,0.0001639612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2172751,"threshold_uncertainty_score":0.9695411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1820982048038034,"score_gpt":0.3373753794274676,"score_spread":0.1552771746236642,"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."}}