{"id":"W2151294996","doi":"10.1086/526794","title":"MegaPipe: The MegaCam Image Stacking Pipeline at the Canadian Astronomical Data Centre","year":2008,"lang":"en","type":"article","venue":"Publications of the Astronomical Society of the Pacific","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Pipeline (software); Calibration; Remote sensing; Computer science; Computer vision; Telescope; Image processing; Artificial intelligence; Environmental science; Image (mathematics); Geology; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001677906,0.001305038,0.001236959,0.008711664,0.002901895,0.003181623,0.003538009,0.0007503851,0.06647462],"category_scores_gemma":[0.003395007,0.001385908,0.001061354,0.008952797,0.0006822473,0.002660818,0.002689681,0.001891875,0.037792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005961318,"about_ca_system_score_gemma":0.0126111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5014854,"about_ca_topic_score_gemma":0.6604443,"domain_scores_codex":[0.9980826,0.00005977582,0.00004898832,0.0002147103,0.001313851,0.0002799976],"domain_scores_gemma":[0.9957349,0.0001179025,0.000178511,0.0006488926,0.002933861,0.0003860087],"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":[0.000245977,0.00006408443,0.00844179,0.0005244344,0.0001563244,0.0001269108,0.0006331563,0.001631905,0.01877248,0.005722944,0.6612267,0.3024533],"study_design_scores_gemma":[0.000123057,0.00003308077,0.04363019,0.0001609083,0.0000704444,0.0001932917,0.0002258298,0.01308067,0.01638542,0.004042605,0.9217936,0.0002609499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01359432,0.002713735,0.2564348,0.001271437,0.0006492814,0.001884747,0.4381524,0.1623722,0.122927],"genre_scores_gemma":[0.04299656,0.001679766,0.4396526,0.0006356801,0.0003049698,0.001346766,0.4434241,0.02238724,0.04757228],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4985146,"threshold_uncertainty_score":0.9971329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674902574681252,"score_gpt":0.2140328607567562,"score_spread":0.1872838350099437,"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."}}