{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004740664,0.00179236,0.001245116,0.001718431,0.000819326,0.001126181,0.0031619,0.001617684,0.007982782],"category_scores_gemma":[0.002062578,0.0004504458,0.001042946,0.00293341,0.000485821,0.001104828,0.001389082,0.00130795,0.01460897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00077395,"about_ca_system_score_gemma":0.001137549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04575327,"about_ca_topic_score_gemma":0.1224095,"domain_scores_codex":[0.9991591,0.0001023042,0.0000764643,0.0002706225,0.000276523,0.0001149078],"domain_scores_gemma":[0.9993989,0.00008585565,0.00004902692,0.0001962471,0.0001972962,0.00007252324],"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":[0.0003137263,0.000268769,0.007645608,0.001047296,0.0002297404,0.0004149321,0.0001232572,0.006697815,0.002000529,0.0007403546,0.9544219,0.02609599],"study_design_scores_gemma":[0.0007203543,0.0002138213,0.04241091,0.0003730109,0.000139101,0.0008648799,0.0008173367,0.02795858,0.003743271,0.002503352,0.9200632,0.0001922659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01707951,0.0009537459,0.001693374,0.0002782266,0.0001663439,0.0001677738,0.972105,0.003272768,0.004283187],"genre_scores_gemma":[0.00599516,0.00009370354,0.001877449,0.00004278616,0.000008867439,0.000104187,0.9910877,0.0001007586,0.0006894026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04575327,"threshold_uncertainty_score":0.09097391,"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."}}