{"id":"W2335798772","doi":"10.1504/ijspacese.2015.075918","title":"Hydrolysed polar terrain ice aerobot mission platform","year":2015,"lang":"en","type":"article","venue":"International Journal of Space Science and Engineering","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Payload (computing); Terrain; Polar; Astrobiology; Engineering; Aerospace engineering; Remote sensing; Meteorology; Environmental science; Computer science; Geology; Geography; Physics; Astronomy; 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":[0.0002896854,0.0002486126,0.0001991719,0.0001729907,0.0003795121,0.0004171762,0.0002811425,0.0002893351,0.006671823],"category_scores_gemma":[0.000129062,0.0000904379,0.0001209401,0.0001057804,0.0001869654,0.0003650791,0.0007897384,0.0004857256,0.002360037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375496,"about_ca_system_score_gemma":0.0004506155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871665,"about_ca_topic_score_gemma":0.003099916,"domain_scores_codex":[0.9998993,0.00001001301,0.000001572335,0.00001655293,0.00004542055,0.00002713443],"domain_scores_gemma":[0.9999309,0.000005388583,0.000006011622,0.00001023211,0.00001956711,0.00002802523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003669861,0.0003305323,0.009495324,0.0002923537,0.00006455927,0.001114174,0.0002776666,0.01110869,0.8592071,0.008526328,0.02153629,0.08437711],"study_design_scores_gemma":[0.000965085,0.004379468,0.05873767,0.0001119941,0.00005216416,0.001311066,0.0005072472,0.04904931,0.4385591,0.00266454,0.4435564,0.000105995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7665354,0.0005134639,0.03667472,0.0004946106,0.0003929551,0.000969834,0.008699226,0.003202063,0.1825178],"genre_scores_gemma":[0.898684,0.0003213659,0.04047846,0.0002715641,0.00006707935,0.0003243614,0.01647464,0.0003581677,0.04302041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006671823,"threshold_uncertainty_score":0.02231944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712608501953819,"score_gpt":0.2409756649005863,"score_spread":0.2238495798810481,"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."}}