{"id":"W2081834409","doi":"10.1364/fts.2005.fmc3","title":"SpIOMM: an Imaging FTS for Astronomy","year":2005,"lang":"en","type":"article","venue":"Fourier Transform Spectroscopy/ Hyperspectral Imaging and Sounding of the Environment","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Interferometry; Telescope; Sky; Optics; Physics; Spectral imaging; Astronomy; Astronomical interferometer; Servo; Remote sensing; Computer science; Geology; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002517526,0.0003112897,0.0003049619,0.00006815924,0.000480552,0.0001000357,0.0002279738,0.0000231728,0.00009198659],"category_scores_gemma":[0.000002200415,0.0002564979,0.0002370629,0.00005264365,0.0002784377,0.0003690649,0.00004216015,0.0002222052,0.00000483907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399927,"about_ca_system_score_gemma":0.00003055549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006827675,"about_ca_topic_score_gemma":0.00000280428,"domain_scores_codex":[0.9984049,0.00003103825,0.0003290915,0.0004252977,0.0002305148,0.0005791644],"domain_scores_gemma":[0.999307,0.00004014534,0.0001379864,0.0003561253,0.00001541417,0.0001432626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003821984,0.002055697,0.1571106,0.0001172541,0.0008883305,0.000005159146,0.01369434,0.006777743,0.4836327,0.1461821,0.0008096217,0.1883443],"study_design_scores_gemma":[0.009278562,0.000750854,0.016067,0.0003936324,0.001483874,0.00005058767,0.02062329,0.1476575,0.6169652,0.09342539,0.0900325,0.003271684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6344515,0.000408431,0.355835,0.003550782,0.0002347479,0.0006751842,0.00007091974,0.00003718103,0.004736197],"genre_scores_gemma":[0.8868862,0.0000104584,0.1121902,0.00005446939,0.0004659902,0.00001588167,0.00001419846,0.00004691259,0.0003156011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2524347,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008223462659274594,"score_gpt":0.2345940218067053,"score_spread":0.2263705591474307,"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."}}