{"id":"W2899826578","doi":"10.1051/0004-6361/201732134","title":"Machine learning in APOGEE","year":2018,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Conselho Nacional de Desenvolvimento Científico e Tecnológico; York University; Carnegie Mellon University; Office of Science; Johns Hopkins University; College of Engineering, Michigan State University; Harvard University; Ohio State University; National Science Foundation; University of Washington; Alfred P. Sloan Foundation; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University; University of Arizona; Princeton University; Brookhaven National Laboratory; U.S. Department of Energy","keywords":"Physics; Astrophysics; Astronomy","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":[0.001318672,0.0003721387,0.0004218022,0.00142177,0.0004719219,0.002056975,0.0007512927,0.0008714749,0.006387522],"category_scores_gemma":[0.008180331,0.0001376041,0.0003055391,0.001664306,0.001182619,0.001645499,0.001592896,0.002035547,0.001869377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008923124,"about_ca_system_score_gemma":0.0005408275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002605457,"about_ca_topic_score_gemma":0.00158572,"domain_scores_codex":[0.9989863,0.0004241079,0.00004275813,0.0003007763,0.0002030774,0.00004295791],"domain_scores_gemma":[0.9975889,0.001560644,0.0002007707,0.0003134656,0.0002442518,0.00009206674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006478157,0.00007354609,0.01275948,0.0006750526,0.0001463881,0.0003860157,0.0004980363,0.07820692,0.0008487758,0.4182378,0.1257914,0.3623119],"study_design_scores_gemma":[0.00001715668,0.00002526392,0.01072141,0.0002612746,0.00001805963,0.0003200591,0.0001703492,0.1678937,0.0007696913,0.6285173,0.1912424,0.00004332417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07649785,0.03518734,0.7327932,0.04409694,0.00203538,0.0001986645,0.01260954,0.004078307,0.09250268],"genre_scores_gemma":[0.6625476,0.01445626,0.2829968,0.003189672,0.003032368,0.000450284,0.01174644,0.0006138022,0.0209668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006387522,"threshold_uncertainty_score":0.02136844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007470654756762703,"score_gpt":0.2104758704937889,"score_spread":0.2030052157370262,"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."}}