{"id":"W4400725582","doi":"10.1117/12.3020305","title":"The final design of the Gemini Infrared Multi-Object Spectrograph: Gemini’s new adaptive optics facility instrument","year":2024,"lang":"en","type":"article","venue":"","topic":"History and Developments in Astronomy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; National Research Council Canada; York University; University of British Columbia; Dalhousie University; Herzberg Institute of Astrophysics","funders":"","keywords":"Spectrograph; Adaptive optics; Infrared; Optics; Physics; Computer science; Object (grammar); Astronomy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002460568,0.0005132694,0.0003188015,0.0004192127,0.0006950165,0.001732735,0.001196329,0.00108189,0.00534885],"category_scores_gemma":[0.001122182,0.0004104166,0.0004861282,0.0003582517,0.0004039865,0.001474206,0.0009524653,0.001303673,0.004191461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001821981,"about_ca_system_score_gemma":0.002130332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034654,"about_ca_topic_score_gemma":0.005797934,"domain_scores_codex":[0.9987299,0.0001055374,0.00002995992,0.0002025335,0.0007250384,0.0002069554],"domain_scores_gemma":[0.9990444,0.00002822043,0.00003800375,0.0001107317,0.0005711809,0.0002074455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001623277,0.0003058191,0.01956434,0.0006185008,0.0001955268,0.0005948659,0.00116949,0.01170086,0.2493352,0.07070938,0.2207378,0.4234449],"study_design_scores_gemma":[0.0001196549,0.0005462741,0.01192485,0.00005566308,0.00007709253,0.0004593372,0.0001120914,0.0129722,0.03713613,0.004177945,0.9323111,0.0001075401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06233337,0.002018898,0.8027787,0.004958801,0.00229677,0.002147666,0.005527407,0.01631957,0.1016189],"genre_scores_gemma":[0.1691466,0.0008287328,0.7451004,0.002319252,0.0005655626,0.001096759,0.009757352,0.002100435,0.06908496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00534885,"threshold_uncertainty_score":0.01789373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487966306201482,"score_gpt":0.2495652554925206,"score_spread":0.2046855924305058,"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."}}