{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0311608,0.001079248,0.0005831412,0.002239341,0.003383261,0.007073535,0.004156984,0.004563867,0.02861929],"category_scores_gemma":[0.02536513,0.000776593,0.001259904,0.001810405,0.002580468,0.008248235,0.01045386,0.004698785,0.01540283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004340712,"about_ca_system_score_gemma":0.04126067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461511,"about_ca_topic_score_gemma":0.01842618,"domain_scores_codex":[0.9899836,0.003665888,0.0004455546,0.0007548348,0.002918825,0.002231301],"domain_scores_gemma":[0.9723375,0.002550205,0.001920494,0.002384798,0.008005265,0.01280154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006704979,0.0006863117,0.01551206,0.001290208,0.0000854536,0.0007034604,0.00151655,0.003581843,0.006166402,0.04412858,0.5227044,0.4029544],"study_design_scores_gemma":[0.0001521855,0.0008762744,0.006887961,0.0005404406,0.00003527041,0.0003324913,0.002460681,0.003120777,0.003705387,0.01715938,0.9646291,0.0001000617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05632658,0.01961942,0.2593844,0.3765468,0.01374258,0.0115832,0.01382096,0.02475466,0.2242215],"genre_scores_gemma":[0.1619691,0.01289074,0.6904618,0.0507329,0.002427917,0.006618587,0.0229411,0.002822991,0.04913485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0311608,"threshold_uncertainty_score":0.1647961,"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."}}