{"id":"W2056742289","doi":"10.1088/0004-637x/779/1/80","title":"THE GEMINI NICI PLANET-FINDING CAMPAIGN: THE COMPANION DETECTION PIPELINE","year":2013,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exoplanet; Planet; Stars; Physics; Astronomy; Pipeline (software); Computer science; Telescope; Contrast (vision); Artificial intelligence; Computer vision; Operating system","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":[0.0009835964,0.0008763282,0.0006265631,0.001944378,0.0007281725,0.001231864,0.001033522,0.0006349658,0.008915625],"category_scores_gemma":[0.001809269,0.0005368947,0.0007486873,0.001441333,0.000182786,0.0008598751,0.001235151,0.0007273992,0.009079287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007627371,"about_ca_system_score_gemma":0.00113732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366033,"about_ca_topic_score_gemma":0.02186144,"domain_scores_codex":[0.9994113,0.00004453806,0.00002814418,0.0001815716,0.0002271752,0.0001072101],"domain_scores_gemma":[0.9991762,0.00007457393,0.00006879815,0.0003004991,0.0002907018,0.00008906046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001550062,0.0004636194,0.07213471,0.0006057518,0.0003918087,0.0003909574,0.000743348,0.0133808,0.1296551,0.002042084,0.2110465,0.5675952],"study_design_scores_gemma":[0.0004533656,0.0004937243,0.3437328,0.00009044472,0.0002697587,0.0008738512,0.0004064693,0.1776281,0.1115471,0.0034077,0.3608746,0.0002221908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3080374,0.001190289,0.3379039,0.001010899,0.0003350032,0.002774939,0.1734345,0.1302994,0.04501377],"genre_scores_gemma":[0.2107825,0.0002450364,0.4572669,0.0003081247,0.000172097,0.001177563,0.3121014,0.006038467,0.01190801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366033,"threshold_uncertainty_score":0.02982575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211410312509714,"score_gpt":0.2223687377779818,"score_spread":0.2102546346528847,"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."}}