{"id":"W2980186287","doi":"10.1007/s11214-019-0609-7","title":"Sample Collection and Return from Mars: Optimising Sample Collection Based on the Microbial Ecology of Terrestrial Volcanic Environments","year":2019,"lang":"en","type":"article","venue":"Space Science Reviews","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Science and Technology Facilities Council","keywords":"Mars Exploration Program; Volcano; Earth science; Basalt; Life on Mars; Biota; Exploration of Mars; Geology; Ecology; Regolith; Environmental science; Astrobiology; Martian; Geochemistry; Biology","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":[0.0008130319,0.000106081,0.000200771,0.00007837707,0.0002936724,0.00006753324,0.0001807588,0.00002600391,0.0003500457],"category_scores_gemma":[0.0001006104,0.00007435412,0.00004745875,0.0004912736,0.0001908834,0.0002886296,0.00003145343,0.00009388112,0.00006463551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000059928,"about_ca_system_score_gemma":0.0001380085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113148,"about_ca_topic_score_gemma":0.0001718194,"domain_scores_codex":[0.9989589,0.0001264923,0.0002102753,0.0003154548,0.0001894405,0.0001994762],"domain_scores_gemma":[0.9992195,0.0002690007,0.0002168309,0.0002367479,0.000009689324,0.00004826034],"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":[0.0002994543,0.0002927317,0.2595449,0.00002847083,0.00003507824,3.598833e-7,0.001777998,0.005339007,0.6935335,0.0006639579,0.00896339,0.02952109],"study_design_scores_gemma":[0.00445947,0.002472293,0.09918816,0.0006329131,0.0002179207,0.000003136413,0.002489048,0.5414238,0.08779766,0.007611072,0.2522644,0.001440131],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837883,0.00008430319,0.01289166,0.0008418622,0.0007386437,0.001127837,0.00007511214,0.000006886888,0.0004454324],"genre_scores_gemma":[0.9956803,0.0001373615,0.00374286,0.000118063,0.0001062212,0.00001684667,0.00009704501,0.000004541182,0.00009677299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6057359,"threshold_uncertainty_score":0.3832755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207235002799199,"score_gpt":0.2374421433518997,"score_spread":0.2153697933239077,"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."}}