{"id":"W3098984983","doi":"10.1051/0004-6361/201527359","title":"Photometric brown-dwarf classification","year":2016,"lang":"en","type":"preprint","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; University of Portsmouth; University of California, Los Angeles; York University; Science and Technology Facilities Council; Carnegie Mellon University; University of Arizona; Office of Science; Princeton University; Alfred P. Sloan Foundation; University of Washington; Johns Hopkins University; College of Engineering, Michigan State University; Harvard University; Ohio State University; New Mexico State University; Yale University; Vanderbilt University; National Science Foundation; Brookhaven National Laboratory; U.S. Department of Energy; California Institute of Technology; National Aeronautics and Space Administration; Jet Propulsion Laboratory","keywords":"Physics; Astrophysics; Photometry (optics); Stellar classification; Brown dwarf; Homogeneous; Spectral line; Astronomy; Stars","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":[0.0005207808,0.0004057582,0.0004688484,0.003979084,0.0004680431,0.0005401712,0.0005113927,0.0001864052,0.008846895],"category_scores_gemma":[0.001003067,0.0001136924,0.0003282258,0.002002063,0.0002493687,0.0002954133,0.0008382302,0.000229631,0.007067365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003546843,"about_ca_system_score_gemma":0.0003754433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006063344,"about_ca_topic_score_gemma":0.006343606,"domain_scores_codex":[0.9993694,0.00004743467,0.00006138713,0.0001426295,0.0001919185,0.0001872785],"domain_scores_gemma":[0.998968,0.00006482565,0.0002961817,0.0001837257,0.0002401567,0.0002471111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004498251,0.0001262624,0.914633,0.000144367,0.00006067406,0.0001931611,0.0007655199,0.000518758,0.01505647,0.001322077,0.0186266,0.04810324],"study_design_scores_gemma":[0.000008530279,0.00005505937,0.9806676,0.000006961348,0.00001099083,0.0002361756,0.0001340431,0.0002846638,0.001103761,0.0001904162,0.01729482,0.000006961707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199501,0.0006422812,0.003158654,0.00009741603,0.00004555794,0.0003095207,0.0526248,0.000612524,0.02255921],"genre_scores_gemma":[0.8581492,0.0003931276,0.003754762,0.00009893931,0.00005746759,0.0002339198,0.1218252,0.0001726879,0.01531466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008846895,"threshold_uncertainty_score":0.02959585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938437828350706,"score_gpt":0.2331326184127002,"score_spread":0.2137482401291931,"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."}}