{"id":"W1643821062","doi":"","title":"Field Testing Next-Generation Ground Data Systems for Future Missions","year":2011,"lang":"en","type":"article","venue":"Lunar and Planetary Science Conference","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systems engineering; Software; Documentation; Engineering; Field (mathematics); Mars Exploration Program; Software engineering; Computer science","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":[0.008074951,0.0005728563,0.0002893997,0.0009465403,0.0006174151,0.001071543,0.002630196,0.0008635251,0.00381382],"category_scores_gemma":[0.02110563,0.0004176807,0.0003923358,0.0006636464,0.0008170202,0.004038369,0.001376282,0.001299436,0.000820828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886811,"about_ca_system_score_gemma":0.001155008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006264913,"about_ca_topic_score_gemma":0.004870926,"domain_scores_codex":[0.9967122,0.001098994,0.0002688157,0.0003462925,0.001219201,0.0003545223],"domain_scores_gemma":[0.9818192,0.006329927,0.0004418099,0.003233237,0.007006466,0.001169327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006844222,0.01195834,0.1073822,0.001922822,0.0004398975,0.001821414,0.009735763,0.08458024,0.1431593,0.01814462,0.03895346,0.5750577],"study_design_scores_gemma":[0.003503817,0.02528134,0.07115982,0.0005417232,0.0005041832,0.001460377,0.006785931,0.5249518,0.2489185,0.008678572,0.1078757,0.0003382364],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455228,0.0002804862,0.04101922,0.0009953398,0.0001820805,0.0009773429,0.0007597024,0.003410622,0.006852388],"genre_scores_gemma":[0.8995056,0.0001640763,0.09492052,0.000208766,0.00003351917,0.0004723089,0.001574835,0.0003185994,0.002801791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008074951,"threshold_uncertainty_score":0.04270494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2973027304314599,"score_gpt":0.2829854815336662,"score_spread":0.01431724889779373,"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."}}