{"id":"W2793630632","doi":"10.3390/rs10010121","title":"Tree Death Not Resulting in Gap Creation: An Investigation of Canopy Dynamics of Northern Temperate Deciduous Forests","year":2018,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Canopy; Deciduous; Temperate deciduous forest; Tree canopy; Temperate rainforest; Environmental science; Transect; Coarse woody debris; Biome; Lidar; Atmospheric sciences; Ecology; Agroforestry; Geography; Remote sensing; Ecosystem; Biology; Habitat; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009925115,0.0001443106,0.000284639,0.0004936083,0.0004268969,0.0004293807,0.0003729604,0.0002784743,0.0004921335],"category_scores_gemma":[0.001553273,0.000109335,0.0004177933,0.0004591954,0.000317738,0.000502268,0.0003267381,0.0001948854,0.0000565376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961847,"about_ca_system_score_gemma":0.0003722136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0162479,"about_ca_topic_score_gemma":0.02527146,"domain_scores_codex":[0.9997597,0.00005564362,0.00001675358,0.00008758822,0.00003120556,0.00004904897],"domain_scores_gemma":[0.998897,0.000464551,0.0002907423,0.0001338428,0.00008166134,0.000132189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001474244,0.0001252064,0.9845511,0.00003388619,0.0000836169,0.0003961018,0.0004921194,0.005101907,0.003160011,0.00017706,0.00009248224,0.005639013],"study_design_scores_gemma":[0.000003735988,0.00004806155,0.982026,0.000004521206,0.00002262676,0.000166346,0.0005242156,0.01666371,0.0002401891,0.0001429421,0.0001519982,0.000005635975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997091,0.0000367577,0.0001299498,0.000006527138,4.802812e-7,0.000001229167,0.0000437063,0.000003159329,0.00006910082],"genre_scores_gemma":[0.9996619,0.00001829216,0.0001428516,0.000003551359,0.000001477101,0.000001770957,0.0001346108,0.000001124245,0.00003444849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0162479,"threshold_uncertainty_score":0.03230667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226395579897801,"score_gpt":0.2646281102484882,"score_spread":0.2419885522587081,"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."}}