{"id":"W4401798991","doi":"10.1117/12.3019261","title":"The far-infrared enhanced survey spectrometer (FIRESS) for PRIMA","year":2024,"lang":"en","type":"article","venue":"","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Spectrometer; Far infrared; Infrared; Remote sensing; Physics; Optics; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009843899,0.00005324209,0.00004513258,0.00001654825,0.00004892924,0.000108289,0.0000578758,0.0000182517,0.00008298842],"category_scores_gemma":[0.00001214345,0.00003591494,0.00003334284,0.00007508516,0.000009808917,0.0001176329,0.000006843803,0.00003707559,0.00004090401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004533545,"about_ca_system_score_gemma":0.000007785662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000102478,"about_ca_topic_score_gemma":0.00003633411,"domain_scores_codex":[0.9996639,0.000005962881,0.0001120342,0.00007057356,0.00003469462,0.0001128294],"domain_scores_gemma":[0.9997365,0.0001480467,0.000004890621,0.00008036926,0.00001333058,0.000016892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004950377,0.0000239546,0.0007623332,0.0001223735,0.0003610768,3.18398e-7,0.0003260992,0.002726015,0.1021616,0.064192,0.06176127,0.7675134],"study_design_scores_gemma":[0.000377422,0.0001015316,0.1818317,0.00001984647,0.00001957786,3.8023e-7,0.00008081178,0.5685307,0.1008946,0.002829965,0.1450123,0.0003012104],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4889463,0.0001460177,0.4996811,0.0001329584,0.000622285,0.0002459838,0.00003238356,0.0002815123,0.00991144],"genre_scores_gemma":[0.9919344,0.00002844085,0.005350197,0.00002083085,0.00006348138,0.00005919587,0.00005368274,0.00001593419,0.002473809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7672122,"threshold_uncertainty_score":0.1464569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631361755690299,"score_gpt":0.2378854698467102,"score_spread":0.2215718522898072,"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."}}