{"id":"W4399658255","doi":"10.1117/12.3019153","title":"Commissioning and calibration of the JWST Aperture Masking Interferometry mode","year":2024,"lang":"en","type":"article","venue":"","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Interferometry; Optics; Calibration; Mode (computer interface); Masking (illustration); Aperture (computer memory); Computer science; Physics; Acoustics","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":[0.005304634,0.0004757913,0.0003495669,0.001031344,0.0009287316,0.001198228,0.0008437338,0.0005402953,0.001372559],"category_scores_gemma":[0.006427027,0.0005487953,0.0004162486,0.001015629,0.0006554343,0.001165619,0.001398322,0.001543285,0.001161537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407066,"about_ca_system_score_gemma":0.001880348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006380849,"about_ca_topic_score_gemma":0.01184757,"domain_scores_codex":[0.996997,0.0002247716,0.000144935,0.0003996977,0.001944362,0.0002892752],"domain_scores_gemma":[0.9946824,0.0004642002,0.0003321044,0.002149152,0.002005053,0.0003670139],"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":[0.001430406,0.0005094454,0.2302574,0.0004591612,0.0002516269,0.0008883915,0.003904117,0.02699546,0.322257,0.009951361,0.03108271,0.372013],"study_design_scores_gemma":[0.0002946302,0.001552737,0.4307647,0.0001835143,0.0002147142,0.001135906,0.0005888396,0.09535115,0.2619824,0.004651455,0.2029972,0.0002827233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7394461,0.0005999568,0.2016962,0.001182057,0.0005199438,0.001612148,0.005502249,0.01109469,0.03834669],"genre_scores_gemma":[0.7778336,0.0002030808,0.2078558,0.0003190087,0.0001191463,0.0005406059,0.007295521,0.001768199,0.004064992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006380849,"threshold_uncertainty_score":0.02805394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00588698537405852,"score_gpt":0.2059339713775357,"score_spread":0.2000469860034772,"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."}}