{"id":"W6989049041","doi":"","title":"AI Applications on Planetary Rovers","year":2023,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Novelty; Novelty detection; Feature extraction; Convolutional neural network; Feature (linguistics); Timestamp; Drone; Artificial neural network; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000517919,0.0006458613,0.0003600628,0.001122765,0.0008151815,0.001874135,0.001105221,0.001415572,0.02431605],"category_scores_gemma":[0.002383052,0.0002617023,0.0005207619,0.001575093,0.0008270986,0.001677469,0.001787957,0.001451202,0.008064505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000741419,"about_ca_system_score_gemma":0.0005327929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003485895,"about_ca_topic_score_gemma":0.004451069,"domain_scores_codex":[0.9995074,0.0000995003,0.00002774108,0.00009817523,0.0002280345,0.000039052],"domain_scores_gemma":[0.9992193,0.0003040434,0.00004025246,0.0001162101,0.0002340533,0.00008607648],"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":[0.0001840472,0.0001429899,0.002510565,0.001152698,0.00008585471,0.001265336,0.0009570759,0.03936464,0.01562335,0.1401676,0.1383019,0.6602439],"study_design_scores_gemma":[0.00003178899,0.0001235543,0.00238,0.0003677247,0.00002930989,0.001386814,0.0004861348,0.09386387,0.004636439,0.1004954,0.7961484,0.00005053537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02022264,0.03838413,0.3406006,0.01345749,0.004476807,0.0003456979,0.0009962654,0.005417562,0.5760988],"genre_scores_gemma":[0.3732343,0.05923063,0.2763145,0.005677495,0.005947588,0.000558331,0.002708274,0.001086851,0.275242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02431605,"threshold_uncertainty_score":0.08134526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07504679721231738,"score_gpt":0.2969188741989017,"score_spread":0.2218720769865843,"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."}}