{"id":"W7097153698","doi":"","title":"UNIVERSITY OF CALGARY Calibration of Airborne Laser Scanners","year":2002,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Terrain; Laser scanning; Elevation (ballistics); Digital elevation model; Laser; Lidar","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002041499,0.0006492878,0.0005537349,0.002233119,0.001498076,0.001678929,0.001519757,0.0008552888,0.01275169],"category_scores_gemma":[0.004937819,0.0004926618,0.0002844447,0.00359015,0.0006296854,0.0007302949,0.001926858,0.001258961,0.005621912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004277597,"about_ca_system_score_gemma":0.004680212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1176683,"about_ca_topic_score_gemma":0.1408863,"domain_scores_codex":[0.9965029,0.0002637435,0.00008517835,0.0005944358,0.002334831,0.0002188789],"domain_scores_gemma":[0.9968032,0.0002626241,0.0001505152,0.0005212405,0.002175274,0.00008711467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001193962,0.00006844765,0.01426607,0.0003496681,0.00003929744,0.0002547523,0.0008335403,0.02751077,0.02565091,0.01709287,0.06029977,0.8535144],"study_design_scores_gemma":[0.0001236443,0.0002569052,0.08480692,0.0009141201,0.00005949748,0.0008943788,0.001643229,0.07537887,0.0735983,0.01202404,0.7500902,0.0002099533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1602577,0.009875401,0.425782,0.00398148,0.002601966,0.001260536,0.006056055,0.01080774,0.3793773],"genre_scores_gemma":[0.4024736,0.005815623,0.439063,0.0008485048,0.0003030343,0.0004616286,0.005793243,0.001572677,0.1436688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1176683,"threshold_uncertainty_score":0.2339667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008966543070190453,"score_gpt":0.1761708741805617,"score_spread":0.1672043311103712,"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."}}