{"id":"W2905102100","doi":"10.1007/s11214-018-0570-x","title":"InSight Auxiliary Payload Sensor Suite (APSS)","year":2018,"lang":"en","type":"article","venue":"Space Science Reviews","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":162,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Jet Propulsion Laboratory; Instituto Nacional de Técnica Aeroespacial; Centre National d’Etudes Spatiales","keywords":"Suite; Payload (computing); Planetary science; Aerospace engineering; Physics; Astrobiology; Computer science; Aeronautics; Remote sensing; Systems engineering; Astronomy; Environmental science; Engineering; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009621489,0.0006766933,0.0003801122,0.001428916,0.0003134114,0.0007223492,0.0008838944,0.0005726222,0.009689639],"category_scores_gemma":[0.001240547,0.0001942248,0.0002192869,0.001724397,0.0002255961,0.001419738,0.001278006,0.0008927142,0.004761087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007109789,"about_ca_system_score_gemma":0.002042546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009740836,"about_ca_topic_score_gemma":0.01237218,"domain_scores_codex":[0.9994573,0.00002518605,0.00001444357,0.00007108181,0.0003723036,0.00005963735],"domain_scores_gemma":[0.9989305,0.00005270332,0.00008503123,0.00009756375,0.0007248639,0.0001092857],"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":[0.0004585768,0.000124947,0.01055275,0.0005657111,0.00007875298,0.00004939401,0.0001182008,0.002287089,0.02809763,0.008726913,0.4345309,0.5144092],"study_design_scores_gemma":[0.00007382393,0.0002475731,0.02508041,0.0001535389,0.00006691264,0.0001579531,0.00009741489,0.006617989,0.01122516,0.002946152,0.9532852,0.00004796106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0890551,0.02668865,0.1304979,0.007023483,0.005116207,0.001132963,0.2454194,0.03994021,0.4551261],"genre_scores_gemma":[0.3221156,0.02186259,0.1591805,0.004107093,0.00135619,0.0005728919,0.3644909,0.002127953,0.1241863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009740836,"threshold_uncertainty_score":0.03241503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286279611784763,"score_gpt":0.2739470936144358,"score_spread":0.2610842974965882,"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."}}