{"id":"W4200182161","doi":"10.1089/ast.2021.0198","title":"Mars Sample Return (MSR): Planning for Returned Sample Science","year":2021,"lang":"en","type":"article","venue":"Astrobiology","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Mars Exploration Program; Astrobiology; Exploration of Mars; Martian; Sample (material); Mars landing; Martian surface; Space research; NASA Chief Scientist; Space exploration; Environmental science; Computer science; Earth science; Remote sensing; Aeronautics; Geology; Aerospace engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002498057,0.00009590765,0.0001421799,0.00005154067,0.0002771827,0.00005298472,0.0002025419,0.00003087298,0.000181489],"category_scores_gemma":[0.00009355786,0.00008888915,0.00004838298,0.000248782,0.0001648987,0.0002697819,0.00005603087,0.00008555809,0.00003639719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000143155,"about_ca_system_score_gemma":0.0001950026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009042068,"about_ca_topic_score_gemma":0.00001365256,"domain_scores_codex":[0.9990098,0.00002753328,0.0001539421,0.0003441335,0.00006766678,0.0003968806],"domain_scores_gemma":[0.9992967,0.0002744466,0.00006847044,0.0001987043,0.00009176033,0.0000699338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001102086,0.0001117848,0.6415237,0.0000131692,0.0000736575,0.000005494539,0.001167783,0.00193336,0.2785343,0.04474599,0.009192351,0.02258817],"study_design_scores_gemma":[0.004818774,0.001622029,0.1420405,0.00014087,0.0001500028,0.00006049001,0.0121012,0.0352463,0.2025608,0.234745,0.3642469,0.002267087],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291813,0.00003607909,0.1679125,0.0006852159,0.0006405692,0.0001769027,0.0005769943,0.00003504605,0.0007554458],"genre_scores_gemma":[0.9655934,6.283642e-7,0.03117803,0.0001688852,0.0002371286,0.00001856199,0.002707006,0.000005152043,0.0000912086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4994832,"threshold_uncertainty_score":0.3624794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816292731247212,"score_gpt":0.278075744956364,"score_spread":0.2499128176438919,"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."}}