{"id":"W3166445487","doi":"10.3390/f12060740","title":"Modelling the Spatial Structure of White Spruce Plantations and Their Changes after Various Thinning Treatments","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Gouvernement du Québec","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère des Forêts, de la Faune et des Parcs","keywords":"Thinning; Abies balsamea; Balsam; Basal area; Tree (set theory); Forest management; Spatial distribution; Silviculture; Black spruce; Ecology; Spruce budworm; Forestry; Environmental science; Geography; Agroforestry; Taiga; Biology; Mathematics; Remote sensing; Botany","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000366102,0.0003117114,0.0001756049,0.0003808484,0.0003213474,0.0006038069,0.0006136073,0.0003456031,0.0008564081],"category_scores_gemma":[0.0008689774,0.0002027643,0.0005610272,0.0003286382,0.0002314564,0.0002372269,0.0001988431,0.0002604965,0.0001448542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522227,"about_ca_system_score_gemma":0.0009639164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1748471,"about_ca_topic_score_gemma":0.2458734,"domain_scores_codex":[0.999878,0.00001775693,0.000006741132,0.0000504878,0.00001961518,0.00002717969],"domain_scores_gemma":[0.9995573,0.0001885852,0.00006876686,0.00003716152,0.0001056105,0.00004255891],"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":[0.0001031347,0.0000913171,0.1531928,0.00004520955,0.00006247051,0.0001324571,0.0001802499,0.8296577,0.006104966,0.0004251731,0.0002163533,0.009788205],"study_design_scores_gemma":[0.000009672991,0.00005619853,0.08421071,0.000008361837,0.00002277752,0.00003156019,0.0001041546,0.9139024,0.001162904,0.0001810462,0.0002979609,0.00001218229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956851,0.00003219378,0.003260458,0.00001443061,0.000002450133,0.00001337256,0.0003117921,0.00005321513,0.0006268986],"genre_scores_gemma":[0.9960997,0.00002312499,0.003030482,0.000004329451,7.759932e-7,0.0000124814,0.000401651,0.000009517451,0.0004178607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748471,"threshold_uncertainty_score":0.3476588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008671951357178196,"score_gpt":0.209392786420788,"score_spread":0.2007208350636098,"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."}}