{"id":"W1553861155","doi":"10.4271/2007-01-3240","title":"Thermal Design and Analysis of the Phoenix Mars Lander Meteorological Instrument","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"Jet Propulsion Laboratory; Dalhousie University","keywords":"Phoenix; Mars Exploration Program; Mars landing; Astrobiology; Remote sensing; Exploration of Mars; Environmental science; Aerospace engineering; Meteorology; Computer science; Geology; Engineering; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006664161,0.000640414,0.0003502993,0.0006591275,0.0008274615,0.001111517,0.000879737,0.0004415874,0.00836385],"category_scores_gemma":[0.0006657201,0.0003313431,0.000306942,0.0005102333,0.0002684268,0.0005138313,0.0005162408,0.0005216557,0.00359678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893382,"about_ca_system_score_gemma":0.001669671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274042,"about_ca_topic_score_gemma":0.0169046,"domain_scores_codex":[0.9991732,0.00006179601,0.00001588858,0.0001686089,0.0004814154,0.00009908586],"domain_scores_gemma":[0.9995629,0.00002654849,0.00001910942,0.00003288496,0.0003276996,0.0000308457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001715729,0.0003966048,0.03965712,0.0006644478,0.0001715996,0.0004787518,0.0006897143,0.1817912,0.4359615,0.01050178,0.04669338,0.2812781],"study_design_scores_gemma":[0.0002090049,0.001005301,0.04726499,0.00005280293,0.0001584504,0.0002223972,0.0004334073,0.4922414,0.3119207,0.001406193,0.1449156,0.0001696883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2437958,0.0006693024,0.6044819,0.001429791,0.0005810548,0.002501169,0.007058979,0.01088489,0.128597],"genre_scores_gemma":[0.771141,0.0002867053,0.1695742,0.0004929344,0.00009505905,0.00130766,0.004763378,0.001174099,0.05116498],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01274042,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137248018511668,"score_gpt":0.2220195021538999,"score_spread":0.2082947003027331,"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."}}