{"id":"W2773327434","doi":"10.1177/0278364917737153","title":"The Katwijk beach planetary rover dataset","year":2017,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"European Space Agency","keywords":"Terrain; Remote sensing; Suite; Satellite; Geology; Georeference; Computer science; Mars Exploration Program; Exploration of Mars; Mars rover; Ranging; Artificial intelligence; Geography; Aerospace engineering; Geodesy; Astrobiology; Engineering; Cartography","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":[0.002202218,0.00005400928,0.00006655355,0.00005405465,0.0009239652,0.0007934615,0.002705111,0.00001362497,0.00006092755],"category_scores_gemma":[0.0001024384,0.00002752136,0.00004174548,0.00003183149,0.0002495829,0.0005227963,0.0002180092,0.0004537418,0.000175608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252038,"about_ca_system_score_gemma":0.0001379137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002084026,"about_ca_topic_score_gemma":0.00004810816,"domain_scores_codex":[0.998334,0.00008635897,0.000205323,0.00007008712,0.001115765,0.0001884715],"domain_scores_gemma":[0.9986048,0.0003951525,0.0002160104,0.0003578184,0.0003691946,0.00005707226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003925856,0.0001578589,0.04416841,0.000002476135,0.0006029492,0.00009710205,0.0005954402,0.05002758,0.001421322,0.03890708,0.8282314,0.03539582],"study_design_scores_gemma":[0.001555809,0.000359196,0.05784505,0.0001071775,0.00005302235,0.0001583603,0.002589637,0.04731394,0.001528825,0.1067118,0.7814569,0.0003202275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4762733,0.001517194,0.01752721,0.4463571,0.015084,0.001041863,0.003330098,0.00002059234,0.03884862],"genre_scores_gemma":[0.9972497,0.00006156944,0.0001972342,0.00007451572,0.00130224,8.817931e-7,0.0004549235,0.000003900172,0.0006550953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5209764,"threshold_uncertainty_score":0.7651368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155113081380163,"score_gpt":0.402789648911182,"score_spread":0.2872783407731657,"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."}}