{"id":"W4386360882","doi":"10.3847/25c2cfeb.0c98a944","title":"The Multiview Observatory for Solar Terrestrial Science (MOST)","year":2023,"lang":"en","type":"article","venue":"","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Observatory; Solar observatory; Remote sensing; Astrobiology; Environmental science; Computer science; Geology; Astronomy; Physics","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":[0.004139759,0.0008224639,0.0009113807,0.00256772,0.001351562,0.002854846,0.001646494,0.001258497,0.06455307],"category_scores_gemma":[0.003334146,0.0004109302,0.0005954874,0.003255382,0.000456173,0.002364332,0.004429791,0.001977285,0.03063131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445063,"about_ca_system_score_gemma":0.004574566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03554194,"about_ca_topic_score_gemma":0.06566006,"domain_scores_codex":[0.998211,0.0001866241,0.00007368492,0.0004164673,0.0007882101,0.0003240121],"domain_scores_gemma":[0.9951434,0.0003627898,0.0004864822,0.001068674,0.00148213,0.001456479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001699604,0.00004402452,0.006765075,0.0001015352,0.00002498719,0.00002774966,0.00007787025,0.0001294266,0.001143411,0.003234956,0.9547728,0.0335082],"study_design_scores_gemma":[0.00008937495,0.00003025083,0.03066349,0.00007081025,0.00001443053,0.00001799652,0.0001057596,0.0003667068,0.000920654,0.001535437,0.9661637,0.00002149532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009238699,0.003533273,0.009151691,0.01872797,0.007262666,0.0005191144,0.7367132,0.006800035,0.2080534],"genre_scores_gemma":[0.06540219,0.002416887,0.03826377,0.004170882,0.004761186,0.0006340921,0.749786,0.005024199,0.1295408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06455307,"threshold_uncertainty_score":0.2159515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764999604086329,"score_gpt":0.2633732637130709,"score_spread":0.2257232676722076,"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."}}