{"id":"W6891768756","doi":"10.48550/arxiv.1301.3652","title":"SCUBA-2: iterative map-making with the Sub-Millimetre User Reduction Facility","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bolometer; James Clerk Maxwell Telescope; Data reduction; Reduction (mathematics); Footprint; Telescope; Sky; Point (geometry); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138688,0.001368583,0.001064822,0.001371761,0.001178035,0.001945105,0.003956499,0.0009578756,0.006968823],"category_scores_gemma":[0.005889737,0.0009590759,0.001433037,0.001583003,0.0007802489,0.00149151,0.003817349,0.002085079,0.005212319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006240812,"about_ca_system_score_gemma":0.001891371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009991005,"about_ca_topic_score_gemma":0.01384075,"domain_scores_codex":[0.9986596,0.0002655633,0.0000519271,0.0002529242,0.0006014382,0.0001684957],"domain_scores_gemma":[0.9982182,0.0004404794,0.00009523964,0.0006325448,0.0004571115,0.0001563985],"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":[0.0009275356,0.0004244956,0.01149937,0.000373302,0.0005553126,0.000643841,0.001952777,0.207629,0.05103902,0.01421747,0.09690866,0.6138293],"study_design_scores_gemma":[0.0001835939,0.00009233929,0.003478052,0.00001940349,0.00002959786,0.0001312834,0.0002632306,0.9386824,0.02022887,0.014863,0.02193175,0.00009642601],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03297187,0.00008494437,0.9208016,0.000238789,0.0000665371,0.0002402422,0.001387471,0.03886718,0.005341325],"genre_scores_gemma":[0.07127438,0.00004021543,0.920653,0.00009061478,0.00003322493,0.0002682664,0.003400638,0.002757705,0.001481989],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009991005,"threshold_uncertainty_score":0.02331305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433700313318671,"score_gpt":0.1888066669608257,"score_spread":0.1454366356289586,"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."}}