{"id":"W3173175377","doi":"10.1093/forestry/cpab029","title":"Effect of scan angle on ALS metrics and area-based predictions of forest attributes for balsam fir dominated stands","year":2021,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nadir; Balsam; Context (archaeology); Remote sensing; Abies balsamea; Percentile; Environmental science; Point cloud; Mathematics; Statistics; Geography; Computer science; Physics; Satellite","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001870617,0.0001180015,0.0002599745,0.0003470242,0.0001393545,0.00005797386,0.0004163792,0.00009650087,0.00009872606],"category_scores_gemma":[0.001636323,0.00009629899,0.0001458369,0.0005800516,0.0003956828,0.0002085056,0.00009733009,0.0002833968,0.00000213099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884347,"about_ca_system_score_gemma":0.0001355628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308507,"about_ca_topic_score_gemma":0.0001309885,"domain_scores_codex":[0.9977094,0.0002169461,0.0004886347,0.0002117949,0.001140666,0.0002325847],"domain_scores_gemma":[0.9968922,0.00167903,0.0002980191,0.000246448,0.0007125548,0.0001717812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001864412,0.000861052,0.908705,0.0001009116,0.0002228985,0.00005023947,0.0001187751,0.06082686,0.01060218,0.001837506,0.002837473,0.01197268],"study_design_scores_gemma":[0.002904403,0.00515348,0.8200876,0.0003425934,0.00006393335,0.0001135557,0.0001366557,0.04231382,0.1222032,0.003539758,0.002986232,0.0001548339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99208,0.00005482356,0.00597858,0.000414568,0.0001213857,0.0002476655,0.0002378814,0.000005919609,0.000859118],"genre_scores_gemma":[0.9978684,0.00004905722,0.001723081,0.00001155047,0.0001010065,0.00000711746,0.0000893537,0.00001422048,0.0001361714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.111601,"threshold_uncertainty_score":0.3926959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03876099872359107,"score_gpt":0.3652767648753336,"score_spread":0.3265157661517425,"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."}}