{"id":"W3194895167","doi":"10.1080/2150704x.2021.1962575","title":"Single photon lidar signal attenuation under boreal forest conditions","year":2021,"lang":"en","type":"article","venue":"Remote Sensing Letters","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Lidar; Remote sensing; Attenuation; Environmental science; Canopy; Leaf area index; Tree canopy; Taiga; Geology; Optics; Geography; Ecology; Forestry; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002620801,0.0002905321,0.000186389,0.0002708598,0.0004751484,0.00042146,0.0003511453,0.0001768923,0.0006644831],"category_scores_gemma":[0.0006192765,0.0001569402,0.0001061056,0.0004019588,0.0003762407,0.0004270225,0.0002904113,0.0002156675,0.0001162694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009591943,"about_ca_system_score_gemma":0.0005990703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1353097,"about_ca_topic_score_gemma":0.2356874,"domain_scores_codex":[0.999661,0.00002193975,0.00001026513,0.00008082416,0.0001571979,0.0000688427],"domain_scores_gemma":[0.9997397,0.00005581379,0.00004180659,0.00001848373,0.0001257214,0.00001838524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007539464,0.0001452614,0.4182143,0.0001682814,0.00006808338,0.0003457637,0.001254134,0.01056673,0.5208374,0.000301328,0.0004593352,0.04688548],"study_design_scores_gemma":[0.00001067543,0.0001601879,0.9233838,0.00001015871,0.00003606575,0.0001984262,0.0005978358,0.01774368,0.05700885,0.000108557,0.0007232027,0.00001856217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972554,0.0000489282,0.001550488,0.000008935199,0.000001405202,0.000009536511,0.0001887053,0.00004191198,0.0008946783],"genre_scores_gemma":[0.9986485,0.00003754185,0.000800739,0.00001045458,7.983534e-7,0.000008043346,0.0002283092,0.000006021005,0.0002596442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353097,"threshold_uncertainty_score":0.2690441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546342467714356,"score_gpt":0.2326420475735869,"score_spread":0.2171786228964434,"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."}}