{"id":"W3114447482","doi":"","title":"Orbital Synthetic Aperture Radar for Subsurface Ice Detection on Mars: Scientific Rationale and Canadian Technical Concept","year":2018,"lang":"en","type":"article","venue":"42nd COSPAR Scientific Assembly","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Synthetic aperture radar; Remote sensing; Astrobiology; Geology; Earth science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005919937,0.0002039666,0.0001853642,0.0003297305,0.00104937,0.0005945122,0.0002868363,0.0002028839,0.00001570458],"category_scores_gemma":[0.0003835249,0.0001947941,0.00005286433,0.0006107124,0.0006611735,0.000173512,0.00003936818,0.0001913746,0.0001129417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936948,"about_ca_system_score_gemma":0.0001177615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004772649,"about_ca_topic_score_gemma":0.01855328,"domain_scores_codex":[0.9983911,0.0000204843,0.000217166,0.0005683143,0.000296878,0.0005060416],"domain_scores_gemma":[0.9989183,0.0002035247,0.00004105242,0.000501264,0.0001797223,0.0001561144],"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":[0.0001210521,0.0001561216,0.0002344903,0.0002039923,0.0001278197,0.00003329869,0.001917821,0.003271623,0.6329038,0.009642414,0.2309552,0.1204324],"study_design_scores_gemma":[0.0006989026,0.0004071012,0.001065173,0.0001978067,0.0000565487,0.00009374833,0.0006238868,0.09134759,0.6554326,0.001586017,0.2476173,0.0008733298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317061,0.0002722581,0.05659096,0.0007499548,0.0051097,0.0009738658,0.0002056407,0.001385628,0.00300587],"genre_scores_gemma":[0.9964201,0.000001840234,0.002005882,0.00004498864,0.00008170144,0.00004131917,0.00003791672,0.00003243865,0.001333817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.119559,"threshold_uncertainty_score":0.9993556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230315845787796,"score_gpt":0.2175588234392247,"score_spread":0.2052556649813467,"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."}}