{"id":"W7098933557","doi":"","title":"IAC-07-A5.2.03 ROBOTIC ASSISTANCE, MOBILITY & VISION SYSTEMS – ENABLING TECHNOLOGY FOR EARLY HUMAN-ROBOTIC LUNAR EXPLORATION","year":2008,"lang":"en","type":"article","venue":"","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chassis; Planetary exploration; Planetary surface; Space exploration; Field (mathematics); Prospecting; Space technology; Retroreflector","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":[0.001395404,0.00101942,0.0006281147,0.001770727,0.001446749,0.00617833,0.001788316,0.00352053,0.1262694],"category_scores_gemma":[0.00114223,0.0003602226,0.0006406112,0.001625331,0.001049343,0.002078946,0.002061696,0.002113481,0.1454165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234577,"about_ca_system_score_gemma":0.002824406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008177725,"about_ca_topic_score_gemma":0.006365467,"domain_scores_codex":[0.9991285,0.0001311026,0.00004025398,0.0001321477,0.000397909,0.0001700507],"domain_scores_gemma":[0.9985997,0.0001212426,0.00004650434,0.0002460035,0.0007976611,0.0001888591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002511847,0.0003222096,0.001069898,0.0005213819,0.0000283397,0.0004521083,0.0002693336,0.004049168,0.02696523,0.08195525,0.3612419,0.522874],"study_design_scores_gemma":[0.00001601208,0.00009813463,0.000636534,0.0001372649,0.000006567134,0.0002583169,0.00007675229,0.004095973,0.003812899,0.003837726,0.9869996,0.00002431095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003622348,0.004723572,0.06838055,0.002992308,0.002115174,0.0003187211,0.001654225,0.00618854,0.9100045],"genre_scores_gemma":[0.04346671,0.006051599,0.07181738,0.001433283,0.0009837337,0.0004124274,0.006079471,0.001465473,0.8682899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1262694,"threshold_uncertainty_score":0.4224133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05174440337434457,"score_gpt":0.302627054847845,"score_spread":0.2508826514735004,"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."}}