{"id":"W2068584941","doi":"10.1155/2014/293856","title":"Imaging FTS: A Different Approach to Integral Field Spectroscopy","year":2014,"lang":"en","type":"article","venue":"Advances in Astronomy","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada); Université Laval; Centre for Research in Astrophysics of Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Fonds Québécois de la Recherche sur la Nature et les Technologies; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Physics; Telescope; Hyperspectral imaging; Spectroscopy; Emission spectrum; Successor cardinal; Remote sensing; Field (mathematics); Galaxy; Optics; Astronomy; Astrophysics; Spectral line; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007619915,0.0002214161,0.0002863013,0.000080301,0.00006962892,0.00003741086,0.0002007876,0.00001459089,0.0001149906],"category_scores_gemma":[0.00001218136,0.0001888855,0.0000677315,0.00009849483,0.00003696464,0.0001721813,0.0000749244,0.0001967144,0.00004105665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002941135,"about_ca_system_score_gemma":0.00001003038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001112918,"about_ca_topic_score_gemma":0.00001514445,"domain_scores_codex":[0.9988909,0.00003742502,0.0002200285,0.0003425781,0.0001070398,0.0004020251],"domain_scores_gemma":[0.9994373,0.0001676745,0.00006229202,0.0002331608,0.00001559483,0.00008394708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002164122,0.00009065017,0.89692,0.000006328069,0.00001545286,1.743101e-7,0.0001784068,0.0002092284,0.000007196966,0.003592204,0.0003479435,0.09861075],"study_design_scores_gemma":[0.002697724,0.00048165,0.577227,0.0001777425,0.00007943391,0.000003231638,0.003274424,0.00272915,0.005034644,0.01106303,0.3959033,0.001328653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04375419,0.0003713437,0.4863927,0.0002125745,0.0004260144,0.00024949,0.00000323537,0.0000304981,0.46856],"genre_scores_gemma":[0.9727784,0.000006998158,0.02635432,0.0001422792,0.0004827809,0.00006976109,0.00002419789,0.00001292558,0.0001283821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9290242,"threshold_uncertainty_score":0.7702529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005025077216631737,"score_gpt":0.2386755996861928,"score_spread":0.2336505224695611,"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."}}