{"id":"W6948116916","doi":"10.48550/arxiv.0806.0776","title":"Technical improvements and performances of SpIOMM: an imaging Fourier transform spectrometer for astronomy","year":2008,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telescope; Spectrometer; Metrology; Instrumentation (computer programming); Sky; Near-infrared spectroscopy; Interferometry; Transmission (telecommunications); Observatory","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007687839,0.0001952471,0.0002489636,0.0002430484,0.0000564468,0.00001971972,0.0002069336,0.0001335664,0.00001995906],"category_scores_gemma":[0.000004715569,0.0002221997,0.0001063261,0.0001598193,0.0001117584,0.0002571806,0.0000830622,0.0002630757,0.000002659077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007100375,"about_ca_system_score_gemma":0.00002433767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009673374,"about_ca_topic_score_gemma":0.000004570036,"domain_scores_codex":[0.9992295,0.000007429151,0.0001790653,0.0003023732,0.00004600046,0.0002356509],"domain_scores_gemma":[0.9995216,0.00002161743,0.00004685943,0.0002486821,0.00004356369,0.0001177506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009057609,0.001452503,0.08255411,0.007478098,0.001607497,0.0001225364,0.00146471,0.5785027,0.02159905,0.04122303,0.001161923,0.2619281],"study_design_scores_gemma":[0.001211539,0.0001846406,0.002960834,0.00007419901,0.0001645337,0.000004775871,0.0001216795,0.9864628,0.002843384,0.003307137,0.002096174,0.000568272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.492624,0.00005363834,0.5041972,0.00001301096,0.0001435218,0.0003167514,0.00004421742,0.0001132496,0.002494413],"genre_scores_gemma":[0.9869148,0.000288503,0.01255429,0.0000113512,0.00005459451,0.000001619288,0.00003548782,0.00002702429,0.0001123097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4942909,"threshold_uncertainty_score":0.9061041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927067288634942,"score_gpt":0.1772493871821209,"score_spread":0.1479787142957714,"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."}}