{"id":"W3161370316","doi":"10.3929/ethz-b-000618192","title":"Automated SpectroPhotometric Image REDuction (ASPIRED)","year":2019,"lang":"en","type":"book-chapter","venue":"Liverpool John Moores University","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministério da Ciência e Tecnologia; European Southern Observatory; Science and Technology Facilities Council; Instituto de Astrofísica de Canarias; European Commission; Comisión Nacional de Investigación Científica y Tecnológica; Liverpool John Moores University; Canadian Institute for Advanced Research; Council for Higher Education; United States-Israel Binational Science Foundation; National Science Foundation","keywords":"Python (programming language); Software; Computer science; Software suite; Pipeline (software); Suite; Graphical user interface; Data reduction; Interactivity; Data processing; Computer graphics (images); Database; Data mining; Programming language; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003455961,0.0002804876,0.0002754385,0.0005881987,0.00008905074,0.00003477257,0.000211908,0.0002887141,0.0009378196],"category_scores_gemma":[0.000002613831,0.0003532538,0.0001574874,0.0001621941,0.00006962116,0.0003965565,0.00006853588,0.0003438276,0.0009702131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000781981,"about_ca_system_score_gemma":0.00005188116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007338302,"about_ca_topic_score_gemma":0.000005457854,"domain_scores_codex":[0.9991308,0.000009431513,0.0001822478,0.000284257,0.0001872694,0.0002059196],"domain_scores_gemma":[0.9994284,0.00001720477,0.0001050207,0.0002884391,0.00007661652,0.0000843399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006813924,0.0002537483,0.001179676,0.001334314,0.003913522,0.0002817265,0.001014981,0.05635534,0.0381328,0.2190185,0.6342936,0.04354047],"study_design_scores_gemma":[0.002494837,0.0004437076,0.02257303,0.0003318355,0.0007225911,0.00002514667,0.000286687,0.1369626,0.002057841,0.0008202139,0.83081,0.002471515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07734862,0.0001268941,0.001429858,0.00003185814,0.00254386,0.0006626762,0.000307958,0.002078239,0.9154701],"genre_scores_gemma":[0.3225508,0.00223269,0.009609892,0.00002741247,0.001540157,0.000001616626,0.001580328,0.0002912301,0.6621659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2533042,"threshold_uncertainty_score":0.9999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006826535977974888,"score_gpt":0.1680402479226574,"score_spread":0.1612137119446825,"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."}}