{"id":"W4416723524","doi":"10.1177/03091333251401361","title":"LiDAR accuracy on North American mountain summits","year":2025,"lang":"en","type":"article","venue":"Progress in Physical Geography Earth and Environment","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Alpine Club","keywords":"Lidar; Elevation (ballistics); Terrain; Summit; Altitude (triangle); Digital elevation model","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":[0.000319158,0.000221956,0.0002048369,0.001346423,0.0008382585,0.0008113072,0.000346862,0.0001877308,0.0009154036],"category_scores_gemma":[0.0009831744,0.0001266247,0.0001291152,0.001922162,0.0001839841,0.0002760289,0.0004310421,0.0001522634,0.0002378819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009018746,"about_ca_system_score_gemma":0.0007893528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3506658,"about_ca_topic_score_gemma":0.6850656,"domain_scores_codex":[0.9997815,0.00001673015,0.0000124363,0.00006527378,0.00008269017,0.0000412986],"domain_scores_gemma":[0.999111,0.00006491598,0.00009800142,0.00004379444,0.0006240443,0.00005819708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005853737,0.00001989658,0.9644366,0.00003889985,0.0000474837,0.0001587037,0.0006511253,0.002254899,0.003724588,0.0001054063,0.001343935,0.02716007],"study_design_scores_gemma":[0.000002434239,0.000008343475,0.9944794,0.00002605503,0.00001205851,0.0000453892,0.0006862044,0.002341046,0.0007280805,0.00002923253,0.001635778,0.000006001098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947419,0.0002232279,0.000402738,0.00003419542,0.000005625103,0.00000634548,0.001342349,0.00005892177,0.00318477],"genre_scores_gemma":[0.9968752,0.0001173432,0.0007705956,0.00001735011,0.000004022631,0.000008951252,0.001528719,0.000006855222,0.0006709992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3506658,"threshold_uncertainty_score":0.6972494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004733458589596066,"score_gpt":0.2315951773508876,"score_spread":0.2268617187612916,"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."}}