{"id":"W2826141582","doi":"10.1117/12.2309324","title":"Image slicer module for Wide Field Optical Spectrograph (WFOS)","year":2018,"lang":"en","type":"article","venue":"Ground-based and Airborne Instrumentation for Astronomy VII","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; National Astronomical Observatory of Japan; Association of Canadian Universities for Research in Astronomy; National Institutes of Natural Sciences; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Spectrograph; Grating; Optics; Integral field spectrograph; Telescope; Field of view; Spectral resolution; Computer science; Physics; Computer graphics (images); Spectral line","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001759093,0.0003165257,0.0003060617,0.000127773,0.0005099644,0.0002433171,0.0002085242,0.00005835367,0.0004505684],"category_scores_gemma":[0.00001542065,0.0003129361,0.0002778672,0.0001644835,0.0003364905,0.0004646611,0.00005877485,0.0001784238,0.00003355027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004949835,"about_ca_system_score_gemma":0.0001381777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008151334,"about_ca_topic_score_gemma":0.000005423526,"domain_scores_codex":[0.9981154,0.00002978317,0.000378664,0.0005662391,0.0001932135,0.0007167538],"domain_scores_gemma":[0.9988407,0.0003233771,0.0001407105,0.0002516947,0.0001834261,0.0002601092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001067216,0.0004890494,0.02505344,0.00004100408,0.0002275223,3.082299e-7,0.00007757723,0.00002280176,0.00346464,0.04986592,0.001432963,0.9182575],"study_design_scores_gemma":[0.03274018,0.02081844,0.05645776,0.0002733215,0.0006186595,0.000001963335,0.005599925,0.03535262,0.7138671,0.02811639,0.1031484,0.003005193],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3279943,0.000004177926,0.6692628,0.0006616397,0.0001161771,0.0007961016,0.0001354711,0.00003645389,0.0009927887],"genre_scores_gemma":[0.8467775,2.165463e-7,0.1509561,0.0001524436,0.001044927,0.0005684656,0.0003304323,0.00003388916,0.0001359926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9152523,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148388321485398,"score_gpt":0.288142422443222,"score_spread":0.276658539228368,"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."}}