{"id":"W4280528992","doi":"10.3390/rs14102403","title":"Revealing Active Mars with HiRISE Digital Terrain Models","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Orthophoto; Mars Exploration Program; Remote sensing; Orbiter; Geology; Terrain; Photogrammetry; Digital elevation model; Earth observation; Exploration of Mars; Satellite; Astrobiology; Geography; Aerospace engineering; Cartography; Engineering","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":[0.0003614088,0.0005181592,0.0003057562,0.001791582,0.0002989213,0.001399099,0.0008730491,0.0005525168,0.004163013],"category_scores_gemma":[0.001275181,0.0004413989,0.0007866979,0.001879633,0.000216052,0.0009062903,0.0008844778,0.0007795941,0.001717304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695125,"about_ca_system_score_gemma":0.0004056047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009075388,"about_ca_topic_score_gemma":0.01544718,"domain_scores_codex":[0.9997694,0.00002918971,0.00001427965,0.00005430863,0.0001048774,0.00002792499],"domain_scores_gemma":[0.9997219,0.00005056327,0.0000300822,0.00009256272,0.0000831748,0.0000217041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002904682,0.0002682951,0.02779916,0.0003602963,0.0003862006,0.0006509748,0.0008628597,0.6132467,0.02172727,0.009876168,0.05244758,0.2720841],"study_design_scores_gemma":[0.00005548953,0.00003030694,0.009962995,0.00005331843,0.00004412693,0.0001583669,0.0002493146,0.9470702,0.003574861,0.005638928,0.03311126,0.00005079472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3368684,0.001607031,0.5153322,0.001520436,0.0004479108,0.0004873906,0.06340905,0.0421973,0.03813031],"genre_scores_gemma":[0.6216629,0.0008406631,0.3248292,0.0001883553,0.0001127266,0.0003395561,0.04661684,0.001661767,0.003747943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009075388,"threshold_uncertainty_score":0.01804513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514980346832885,"score_gpt":0.2072828251978982,"score_spread":0.1921330217295694,"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."}}