{"id":"W4229447218","doi":"10.3847/psj/ac460f","title":"Practical Stereophotoclinometry for Modeling Shape and Topography on Planetary Missions","year":2022,"lang":"en","type":"article","venue":"The Planetary Science Journal","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Science Mission Directorate","keywords":"Spacecraft; Remote sensing; Context (archaeology); Asteroid; Pixel; Azimuth; Terrain; Digital elevation model; Albedo (alchemy); Computer science; Geology; Photogrammetry; Position (finance); Artificial intelligence; Geography; Aerospace engineering; Astrobiology; Engineering; Cartography; Physics; Optics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001532958,0.0001547397,0.0001531589,0.0002168417,0.003116618,0.0001975348,0.000640257,0.00001365906,0.001363372],"category_scores_gemma":[0.00001478543,0.0001035287,0.00006920191,0.0004070806,0.000265462,0.0003834957,0.0001193595,0.0007013455,0.00001051627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000137191,"about_ca_system_score_gemma":0.0002395384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006985043,"about_ca_topic_score_gemma":0.000001602016,"domain_scores_codex":[0.9982395,0.00007817535,0.0002541992,0.0003144322,0.0006260646,0.0004876447],"domain_scores_gemma":[0.9989758,0.0003592487,0.0001355201,0.0002152826,0.00002867329,0.0002855318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001361316,0.0006155631,0.4390533,0.00002222007,0.0002342433,0.0001206647,0.002982175,0.4641563,0.003065784,0.005352887,0.02027831,0.06275721],"study_design_scores_gemma":[0.0005324926,0.0007267802,0.03439647,0.00001345383,0.00005167638,0.000666905,0.003385496,0.9503145,0.00002685033,0.002734042,0.006846685,0.0003046232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920143,0.0001059425,0.003189559,0.002191644,0.0005911961,0.0003423675,0.0003292587,0.00001406259,0.001221685],"genre_scores_gemma":[0.995661,0.000007037793,0.003410235,0.0005099908,0.0002503426,0.000008757576,0.00007961487,0.000005624666,0.00006742635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4861583,"threshold_uncertainty_score":0.9995495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410775041824594,"score_gpt":0.2883575204003699,"score_spread":0.2442497699821239,"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."}}