{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000448484,0.0004649812,0.0002208069,0.0003368487,0.0004735608,0.0008629498,0.0007805274,0.000439338,0.004563821],"category_scores_gemma":[0.0004667577,0.0001194953,0.0002704023,0.0003922453,0.0004732298,0.001189496,0.0009996035,0.0006259901,0.001051458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908798,"about_ca_system_score_gemma":0.001218485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00313997,"about_ca_topic_score_gemma":0.004140056,"domain_scores_codex":[0.9994358,0.0000363871,0.0000116824,0.00008899097,0.0003702261,0.00005694276],"domain_scores_gemma":[0.9996827,0.00003602053,0.0000377663,0.00005586892,0.0001421987,0.00004546081],"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":[0.002116281,0.0004998817,0.02128743,0.0008847564,0.0002097705,0.001363816,0.0005184308,0.05299237,0.651111,0.03365733,0.06012668,0.1752322],"study_design_scores_gemma":[0.0002303424,0.00266628,0.01663094,0.00007611042,0.0001251891,0.001509672,0.0004240237,0.1383695,0.621213,0.00381927,0.2147786,0.0001569995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6543329,0.001793804,0.1861778,0.002110286,0.001087802,0.001116707,0.009310327,0.01053318,0.1335372],"genre_scores_gemma":[0.8240532,0.0005035839,0.1540819,0.0007365854,0.00007143892,0.0003467646,0.005600011,0.0003511287,0.01425533],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004563821,"threshold_uncertainty_score":0.01526743,"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."}}