{"id":"W2763528992","doi":"10.1088/1538-3873/aa8800","title":"CCDLAB: A Graphical User Interface FITS Image Data Reducer, Viewer, and Canadian UVIT Data Pipeline","year":2017,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Solar and Space Plasma Dynamics","field":"Physics and Astronomy","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pipeline (software); Reducer; Computer science; Interface (matter); Satellite; Data reduction; Remote sensing; Real-time computing; Environmental science; Engineering; Aerospace engineering; Geology; Operating system; Data mining; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004754138,0.0001523159,0.0002294615,0.00002274549,0.0006529494,0.000205318,0.004948077,0.00006400443,0.00006169328],"category_scores_gemma":[0.0001346035,0.0001058394,0.0001782555,0.0001155891,0.0007721199,0.0005227473,0.002690688,0.0003349917,0.000005888063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003176967,"about_ca_system_score_gemma":0.0002517164,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134322,"about_ca_topic_score_gemma":0.002152771,"domain_scores_codex":[0.998825,0.00005851739,0.0002988166,0.0004016543,0.0001400058,0.0002759632],"domain_scores_gemma":[0.9939104,0.00008645896,0.0003710727,0.005371321,0.0001038295,0.0001568976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001050301,0.0002280341,0.8140864,0.00002006336,0.0003179012,2.580861e-9,0.0002742715,0.000085661,0.0009463714,0.00399497,0.1768437,0.003192153],"study_design_scores_gemma":[0.0009043936,0.00001480152,0.7952726,0.0000770302,0.0002601604,0.000001058757,0.001686269,0.1135212,0.0008053486,0.0016778,0.08540992,0.000369395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128461,0.00009965811,0.003909521,0.07411072,0.0003270529,0.0005248784,0.006914918,0.00001554772,0.001251526],"genre_scores_gemma":[0.9930122,0.000009334099,0.005604784,0.00001277502,0.00009148339,0.000008671132,0.0002917603,0.00001659272,0.0009524013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134356,"threshold_uncertainty_score":0.9952403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871228314190356,"score_gpt":0.279796821150662,"score_spread":0.2510845380087585,"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."}}