{"id":"W3106800271","doi":"10.1007/s11214-020-00774-8","title":"Radiometric Calibration Targets for the Mastcam-Z Camera on the Mars 2020 Rover Mission","year":2020,"lang":"en","type":"article","venue":"Space Science Reviews","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Canadian Space Agency; Carlsbergfondet; Natural Sciences and Engineering Research Council of Canada; European Commission; Ministère des relations internationales et de la Francophonie; H2020 Marie Skłodowska-Curie Actions; University of Winnipeg","keywords":"Mars Exploration Program; Remote sensing; Astrobiology; Planetary science; Calibration; Exploration of Mars; Radiometric dating; Radiometric calibration; Mars rover; Mars landing; Geology; Environmental science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006461655,0.0003618866,0.0002134874,0.0007286876,0.0003685784,0.000355885,0.0004463832,0.0003992053,0.002753364],"category_scores_gemma":[0.0005584299,0.0001531984,0.0002056122,0.0003837144,0.0001352129,0.0002793073,0.0004756108,0.0004222663,0.001153919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143907,"about_ca_system_score_gemma":0.0004274774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003916479,"about_ca_topic_score_gemma":0.009829601,"domain_scores_codex":[0.9995399,0.00003153421,0.000007926303,0.00007258067,0.0002917506,0.00005627872],"domain_scores_gemma":[0.9995373,0.00002748032,0.00003839967,0.00004759218,0.0002921041,0.0000572142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001267768,0.0004694911,0.06858675,0.0002001216,0.00007763663,0.0007650912,0.0007240951,0.01373581,0.6328148,0.001389223,0.04867011,0.231299],"study_design_scores_gemma":[0.0002822373,0.002227584,0.5134212,0.00008658113,0.00008187882,0.001014255,0.0006633606,0.09114754,0.29831,0.000484332,0.09216185,0.0001191497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9172733,0.0004201434,0.03249109,0.0004926486,0.0001589488,0.0004787487,0.005052082,0.003747249,0.03988574],"genre_scores_gemma":[0.9347359,0.00007589902,0.05047808,0.0002647495,0.00002432056,0.000140882,0.007656178,0.0003047434,0.006319246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003916479,"threshold_uncertainty_score":0.009210944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522540901955597,"score_gpt":0.2803114431804368,"score_spread":0.2280573529848771,"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."}}