{"id":"W4414856673","doi":"10.1093/jof/108.3.111","title":"Integration of LIDAR and Digital Aerial Imagery for Detailed Estimates of Lodgepole Pine ( <i>Pinus contorta</i> ) Volume Killed by Mountain Pine Beetle ( <i>Dendroctonus ponderosae</i> )","year":2010,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Mountain pine beetle; Lidar; Volume (thermodynamics); Aerial survey; Loblolly pine; Aerial imagery; Sampling (signal processing); Aerial photography; Infestation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002033038,0.0002618259,0.0002815953,0.001215017,0.0001509052,0.0003892052,0.0002599216,0.0002683641,0.0008715795],"category_scores_gemma":[0.0004972076,0.000287366,0.0002553088,0.0008531664,0.00004968662,0.000642571,0.0003390315,0.0001895104,0.0003065919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891127,"about_ca_system_score_gemma":0.0003172964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006301811,"about_ca_topic_score_gemma":0.02211251,"domain_scores_codex":[0.9998816,0.00001498263,0.000006062965,0.00002222339,0.0000584133,0.00001666851],"domain_scores_gemma":[0.9997576,0.00004611064,0.00003140067,0.00003294458,0.0001171109,0.00001484283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000489441,0.0006095405,0.1519302,0.0002249556,0.0003198929,0.0002794667,0.0002903924,0.05696158,0.1621816,0.0007719547,0.004162638,0.6217782],"study_design_scores_gemma":[0.00005760446,0.000220096,0.3973334,0.00004922301,0.0002379753,0.0002453302,0.0002607036,0.5751829,0.02024047,0.0006145329,0.00550335,0.00005449129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221426,0.0006795657,0.06859933,0.0001330922,0.00008124215,0.00009659104,0.001828092,0.0009822284,0.005457108],"genre_scores_gemma":[0.9312599,0.0001935094,0.06528815,0.00005011394,0.00002244588,0.00005028198,0.002001625,0.00003295359,0.001101113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006301811,"threshold_uncertainty_score":0.01253027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005142993323002592,"score_gpt":0.2261834429250601,"score_spread":0.2210404496020575,"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."}}