{"id":"W4400290059","doi":"10.5194/epsc2024-807","title":"Resource Reconnaissance for Future Crewed Missions to Mars&amp;#160;","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Space Exploration and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Resource (disambiguation); Exploration of Mars; Astrobiology; Computer science; Environmental resource management; Operations research; Environmental science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002531769,0.0004158324,0.0001495675,0.0006965555,0.0009317501,0.0009938282,0.0007033619,0.0006260014,0.01601045],"category_scores_gemma":[0.0002465822,0.00009045938,0.0002364104,0.0005949782,0.0003616749,0.0007320564,0.0005446055,0.0004282672,0.00422499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003184477,"about_ca_system_score_gemma":0.0003362106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409219,"about_ca_topic_score_gemma":0.006731136,"domain_scores_codex":[0.9998645,0.00001534661,0.000004130492,0.00002179085,0.0000701811,0.00002398997],"domain_scores_gemma":[0.999832,0.00002786226,0.00003290922,0.00002076543,0.00006022042,0.00002625492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000654582,0.00007302084,0.01034721,0.0006519048,0.00002054511,0.001394136,0.0006668931,0.001467901,0.1664643,0.006979416,0.02474929,0.7871199],"study_design_scores_gemma":[0.000006568801,0.0004460798,0.02883793,0.0003438261,0.00003480282,0.00303551,0.00213777,0.0031885,0.05294555,0.003465854,0.9055197,0.00003791323],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4028664,0.04546778,0.1493999,0.008714803,0.001664391,0.0005236558,0.002705482,0.003205301,0.3854523],"genre_scores_gemma":[0.6460904,0.02186468,0.1464291,0.001224964,0.0004437364,0.0002002439,0.003150693,0.0005032556,0.1800929],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01601045,"threshold_uncertainty_score":0.05356026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826090563554815,"score_gpt":0.2848302313137842,"score_spread":0.246569325678236,"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."}}