{"id":"W3004260370","doi":"10.1029/2019ea000651","title":"Submeter Resolution Surface Rupture Topography From Legacy Aerial Photographs—A Test Case From the 1992 Landers Earthquake","year":2020,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Southern California Earthquake Center; Colorado School of Mines","keywords":"Geology; Offset (computer science); Point cloud; Photogrammetry; Geodesy; Seismology; Digital elevation model; Georeference; Remote sensing; Aerial photos; Lidar; San andreas fault; Fault (geology); Geography; Physical geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004746599,0.0002703443,0.0002119838,0.0008812664,0.0002758293,0.0005632339,0.0005702401,0.0006376936,0.0009502206],"category_scores_gemma":[0.001847416,0.0002025483,0.0003700111,0.001155118,0.0003130957,0.0004518636,0.0003812835,0.0002565814,0.000240953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539791,"about_ca_system_score_gemma":0.0002826381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03124914,"about_ca_topic_score_gemma":0.04622608,"domain_scores_codex":[0.9996222,0.00007806177,0.00002874193,0.00007251621,0.000146365,0.00005213065],"domain_scores_gemma":[0.9989497,0.0003980281,0.0001327694,0.0002462249,0.0002216423,0.00005167996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00124051,0.001588874,0.4790609,0.0003270111,0.0002753194,0.007452596,0.001462503,0.349582,0.03486741,0.001287987,0.004524364,0.1183306],"study_design_scores_gemma":[0.0002007963,0.0004182069,0.5885935,0.00003033873,0.00007777705,0.0008124072,0.001315258,0.3929548,0.01313916,0.0004346778,0.001969135,0.00005401772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972525,0.00002408798,0.001099372,0.00006338402,0.000003872384,0.00003374302,0.0008257548,0.000075752,0.0006213423],"genre_scores_gemma":[0.995707,0.00002214091,0.003064468,0.000008335479,0.000004640907,0.00001219873,0.001022251,0.000008246448,0.0001507753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03124914,"threshold_uncertainty_score":0.0621345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010151122012882,"score_gpt":0.2005275451291811,"score_spread":0.1804260339090523,"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."}}