{"id":"W1505138002","doi":"10.48550/arxiv.0904.2568","title":"MegaPipe: the MegaCam image stacking pipeline","year":2009,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Computer science; Calibration; Computer vision; Image processing; Pipeline transport; Image (mathematics); Remote sensing; Artificial intelligence; Environmental science; Geology; Mathematics; Statistics; Environmental engineering","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":[0.0008985068,0.001278852,0.001003005,0.004024454,0.001112632,0.002870076,0.003334173,0.0007442842,0.07996214],"category_scores_gemma":[0.002130252,0.00152022,0.00115256,0.003308381,0.0002983192,0.002321437,0.002407052,0.001670345,0.04717316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065528,"about_ca_system_score_gemma":0.002124693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992325,"about_ca_topic_score_gemma":0.02752166,"domain_scores_codex":[0.999248,0.000033596,0.00003305146,0.0001441159,0.0003873913,0.0001538871],"domain_scores_gemma":[0.9988303,0.00007237105,0.00005155589,0.0003200417,0.0006128121,0.000112923],"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":[0.0003268429,0.00006655248,0.003045058,0.0003991618,0.0001728291,0.0002199977,0.0003475742,0.003049861,0.02539604,0.005826097,0.6100232,0.3511269],"study_design_scores_gemma":[0.0001706807,0.00006316372,0.0165662,0.0001330459,0.00009373834,0.0005098067,0.0002367945,0.0634115,0.05527104,0.01538418,0.8478333,0.0003265692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.009034862,0.0008178376,0.5000629,0.0005110871,0.0003771173,0.0007413989,0.09381186,0.3500672,0.0445756],"genre_scores_gemma":[0.05330254,0.0007395791,0.6507208,0.0005619925,0.0002574773,0.0008912247,0.2163331,0.05180026,0.02539316],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07996214,"threshold_uncertainty_score":0.2675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022463567200089,"score_gpt":0.2462575745231742,"score_spread":0.2160329388511733,"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."}}