{"id":"W2996106438","doi":"","title":"Title: OSIRIS-REx at Asteroid (101955) Bennu: Selecting the Prime and Backup Sample Sites, Invited Paper 492627","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Asteroid; Osiris; Backup; Sample (material); Prime (order theory); Astrobiology; Computer science; Physics; Chemistry; Mathematics; Database; Biology; Combinatorics; Botany; Chromatography","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":[0.001892537,0.0003606703,0.0004394898,0.0010174,0.001332299,0.001702457,0.0006347068,0.0008642264,0.0798433],"category_scores_gemma":[0.00305401,0.0002359956,0.0002162851,0.001038629,0.0002441534,0.0008868209,0.001201095,0.0006279318,0.0440474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000591793,"about_ca_system_score_gemma":0.001278781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01179254,"about_ca_topic_score_gemma":0.0409828,"domain_scores_codex":[0.9996272,0.00003374882,0.00001448764,0.00008905514,0.0001549301,0.00008052477],"domain_scores_gemma":[0.9986367,0.0001202109,0.00007695566,0.0001154626,0.0006091652,0.0004416034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006570922,0.00007300241,0.01121816,0.0001108133,0.000009412128,0.0001526042,0.0002140391,0.0001731245,0.005492062,0.0002659572,0.9471871,0.03444665],"study_design_scores_gemma":[0.0002820051,0.0002505114,0.1676045,0.0001213477,0.00003753074,0.0002069436,0.001830097,0.001985083,0.006300931,0.0008599582,0.820479,0.00004210337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3846695,0.003759401,0.02131193,0.04657924,0.04443363,0.004913128,0.199371,0.01576136,0.2792009],"genre_scores_gemma":[0.280634,0.001085225,0.03059239,0.007057634,0.006664024,0.001394628,0.1593446,0.008390068,0.5048376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0798433,"threshold_uncertainty_score":0.2671024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001774948132125,"score_gpt":0.2074912229248231,"score_spread":0.1974734734435018,"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."}}