{"id":"W1224569348","doi":"","title":"Structural attitudes of large scale layering within Coprates Chasma in Valles Marineris, Mars, using High Resolution Stereo Camera data from Mars Express","year":2006,"lang":"en","type":"article","venue":"elib (German Aerospace Center)","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Freie Universität Berlin; Deutsches Zentrum für Luft- und Raumfahrt","keywords":"Mars Exploration Program; Geology; Scale (ratio); Remote sensing; Astrobiology; High resolution; Geography; Cartography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001590437,0.0001999282,0.0002593109,0.00006896222,0.0001161397,0.00009995412,0.0003896464,0.0000457719,0.00009999531],"category_scores_gemma":[0.000001941417,0.0001959439,0.00003427397,0.0001493467,0.00006150158,0.001046312,0.000280711,0.0001468937,0.00001917543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003063774,"about_ca_system_score_gemma":0.00002993386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006607139,"about_ca_topic_score_gemma":0.00195698,"domain_scores_codex":[0.998578,0.00006752033,0.0003582704,0.0004131954,0.000235907,0.0003471346],"domain_scores_gemma":[0.9991975,0.00002124236,0.0002297383,0.0004702279,0.00002835874,0.00005290349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000612068,0.0001202573,0.9504926,0.00002017049,0.00002391942,0.000004871977,0.0005262715,0.006799265,0.04044263,0.0001559904,0.001218473,0.0001344061],"study_design_scores_gemma":[0.001589066,0.00003908459,0.8759565,0.0002639445,0.00002667737,0.000001821488,0.0007067398,0.1122332,0.00790976,0.0003037161,0.0005072679,0.000462213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971494,0.00009834026,0.0009370887,0.00008228754,0.0002998874,0.000164142,0.001194276,0.00002509935,0.00004948713],"genre_scores_gemma":[0.9900154,0.000008073941,0.003327384,0.00002274273,0.0002118811,0.000003399919,0.006317761,0.00001687938,0.00007650092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105434,"threshold_uncertainty_score":0.9988063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458458803466728,"score_gpt":0.2693722767702901,"score_spread":0.2447876887356228,"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."}}