{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006613704,0.00007462804,0.00007968084,0.00003896874,0.0002642849,0.00006394606,0.0000523956,0.000006480006,0.00001437139],"category_scores_gemma":[8.759217e-7,0.00006906111,0.00002510262,0.0001396951,0.00001866342,0.0004908156,0.00003770154,0.0001202022,0.00001550367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821237,"about_ca_system_score_gemma":0.00003728289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409224,"about_ca_topic_score_gemma":0.000002387816,"domain_scores_codex":[0.9994034,0.000022949,0.0000791602,0.0001660815,0.0001653293,0.0001631453],"domain_scores_gemma":[0.9997669,0.00001709261,0.00005286062,0.0001091579,0.0000150259,0.00003892655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009483528,0.0000209995,0.0001751646,0.000003330804,0.00004392619,0.00003332948,0.003908107,0.2741319,0.005619138,0.0001940643,0.0004543495,0.7153209],"study_design_scores_gemma":[0.0002061211,0.00005357857,0.00004066127,0.00001828878,0.00001039588,0.00001912777,0.004589497,0.9843104,0.0005576683,0.008307414,0.001700689,0.0001861314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107392,0.000004649135,0.07982387,0.0002235781,0.00005917435,0.00008952043,0.00003932132,0.00002701311,0.008993701],"genre_scores_gemma":[0.9968049,2.269539e-7,0.002520511,0.00006368924,0.00008260932,2.081712e-8,0.0002907727,0.000007876789,0.000229379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7151347,"threshold_uncertainty_score":0.281623,"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."}}