{"id":"W4402588209","doi":"10.48550/arxiv.2407.17541","title":"exoTEDRF: An EXOplanet Transit and Eclipse Data Reduction Framework","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exoplanet; Eclipse; Transit (satellite); Reduction (mathematics); Data reduction; Computer science; Astronomy; Physics; Engineering; Transport engineering; Data mining; Mathematics; Planet","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001908615,0.00168599,0.0007763773,0.002058646,0.00081156,0.002138355,0.002642028,0.000855165,0.02189671],"category_scores_gemma":[0.004016198,0.001024017,0.002045244,0.001248518,0.0004397358,0.001828355,0.003354332,0.002354987,0.01893489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008736462,"about_ca_system_score_gemma":0.001525045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138269,"about_ca_topic_score_gemma":0.01637839,"domain_scores_codex":[0.9991003,0.00007736006,0.0000567161,0.0002985699,0.0003267624,0.0001402386],"domain_scores_gemma":[0.999153,0.0001530668,0.00005831426,0.0002873388,0.0002602319,0.00008792285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009694783,0.0001932888,0.01182624,0.0007108891,0.0004897193,0.0005773422,0.0007814752,0.01224636,0.02840447,0.01557015,0.7535427,0.1746879],"study_design_scores_gemma":[0.0005508573,0.0001307097,0.01597059,0.0001977891,0.0001413342,0.0005514793,0.000254726,0.0763252,0.03763651,0.02402929,0.8439317,0.0002797583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008197989,0.0005288242,0.4381962,0.0005634864,0.000334627,0.0004467571,0.1258652,0.4116859,0.01418103],"genre_scores_gemma":[0.05808783,0.0004300695,0.4589185,0.0007739977,0.0002228842,0.0009167735,0.373886,0.09390558,0.01285838],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02189671,"threshold_uncertainty_score":0.07325184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555090272087792,"score_gpt":0.2007192397095972,"score_spread":0.04521021250081797,"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."}}