{"id":"W3010881691","doi":"","title":"Optimizing Lunar Sample Return: Lessons Learned from a Robotic Precursor Lunar Analogue Mission at the Mistastin Impact Structure, Labrador, Canada","year":2011,"lang":"en","type":"article","venue":"LPICo","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Astrobiology; Moon landing; Remote sensing; Geology; Geography; 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":[0.001192773,0.0005077771,0.0006153381,0.000248505,0.001100464,0.001392841,0.001117029,0.0006610123,0.001758437],"category_scores_gemma":[0.003501874,0.000281375,0.0002244194,0.0005115121,0.0007195892,0.0008370365,0.0006176002,0.0007896658,0.0004076163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00288692,"about_ca_system_score_gemma":0.005664053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4153919,"about_ca_topic_score_gemma":0.5036058,"domain_scores_codex":[0.999602,0.0000557837,0.00001035618,0.00005533841,0.0001425164,0.0001340511],"domain_scores_gemma":[0.9993027,0.0002582834,0.00002234976,0.00007615791,0.0002803081,0.00006014631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000711583,0.000325024,0.02935671,0.0001765048,0.0001109728,0.0002086027,0.0004267017,0.7643493,0.01041812,0.00350199,0.007309835,0.1831046],"study_design_scores_gemma":[0.0002531396,0.0005076425,0.02683749,0.00002972257,0.00009303512,0.000101225,0.0009749127,0.9419467,0.01297025,0.005013511,0.01119138,0.00008102789],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8981212,0.001320301,0.05459181,0.002039548,0.00006333001,0.0001705267,0.0009087191,0.001513426,0.041271],"genre_scores_gemma":[0.9683298,0.0002594963,0.02696425,0.0001098273,0.00001346329,0.00001903126,0.000502012,0.0002906933,0.003511343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5846081,"threshold_uncertainty_score":0.825948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502054619586826,"score_gpt":0.2586992471041152,"score_spread":0.203678700908247,"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."}}