{"id":"W4401799574","doi":"10.1117/12.3034022","title":"TESERACT: twin Earth sensor astrophotonic CubeSat","year":2024,"lang":"en","type":"article","venue":"","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Algonquin College; Carleton University","funders":"","keywords":"CubeSat; Earth (classical element); Computer science; Astrobiology; Earth observation; Aerospace engineering; Engineering; Physics; Astronomy; Satellite","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003684927,0.0001042762,0.00009412204,0.0001271803,0.0000141746,0.00004311035,0.00007681499,0.00008871827,0.00129677],"category_scores_gemma":[0.00000719797,0.00009003795,0.00004416921,0.000210755,0.00001787744,0.00006296205,0.00001540598,0.0001983736,0.00207709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002232683,"about_ca_system_score_gemma":0.00001017885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009112201,"about_ca_topic_score_gemma":0.00001068361,"domain_scores_codex":[0.9994946,0.000004142936,0.00008468025,0.0001336932,0.00006477154,0.000218182],"domain_scores_gemma":[0.999732,0.00003619566,0.000002233656,0.0001814142,0.000006851624,0.00004132858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005438448,0.00002315334,0.0006077476,0.0001703966,0.0001787181,0.000542365,0.0001553867,0.001768937,0.8933445,0.01737069,0.04150743,0.0443253],"study_design_scores_gemma":[0.0001602704,0.00005818834,0.000429955,0.00003725057,0.0000163884,0.0001215866,0.00008375107,0.2434435,0.2627786,0.0004764052,0.4921085,0.0002856512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8054959,0.003098246,0.02886434,0.0008335461,0.001754322,0.0002882425,0.0000077768,0.01187756,0.1477801],"genre_scores_gemma":[0.9876964,0.0000745011,0.004421893,0.00003925907,0.00006244773,0.00001174006,0.000001935094,0.00003855616,0.007653256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6305658,"threshold_uncertainty_score":0.9996162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006412856709278639,"score_gpt":0.2002955713453323,"score_spread":0.1938827146360537,"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."}}