{"id":"W2962800226","doi":"10.1093/mnras/stx2985","title":"Predicting gravitational lensing by stellar remnants","year":2017,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Smithsonian Astrophysical Observatory; College of Engineering, Michigan State University; York University; Space Telescope Science Institute; Office of Science; Johns Hopkins University; Ohio State University; European Space Agency; National Science Foundation; University of Washington; Smithsonian Institution; Alfred P. Sloan Foundation; National Aeronautics and Space Administration; Princeton University; Brookhaven National Laboratory; U.S. Department of Energy; New Mexico State University; University of Portsmouth; Vanderbilt University; Yale University","keywords":"Physics; Gravitational microlensing; Astrophysics; Astronomy; Exoplanet; Neutron star; Gravitational lens; Compact star; Population; White dwarf; James Webb Space Telescope; Strong gravitational lensing; Massive compact halo object; Stars; Galaxy; Redshift","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":[0.0007988403,0.0004022139,0.0002795015,0.001605717,0.0001932143,0.0006515867,0.0003191595,0.0004373046,0.0009302358],"category_scores_gemma":[0.005501729,0.0002333491,0.0003113689,0.0006156156,0.0002243194,0.0006910194,0.0004027806,0.0002651775,0.00048641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005018517,"about_ca_system_score_gemma":0.0002157173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031072,"about_ca_topic_score_gemma":0.009230509,"domain_scores_codex":[0.9998518,0.00002857561,0.000011849,0.00004749115,0.00003413552,0.00002621411],"domain_scores_gemma":[0.9977324,0.0008325143,0.000748826,0.0001815338,0.0001875382,0.0003170907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005545839,0.00002098039,0.9770611,0.000007886967,0.00004596062,0.00008560818,0.00001662194,0.01594864,0.0005580039,0.0001292541,0.0001987659,0.005871612],"study_design_scores_gemma":[0.00001002147,0.00008910954,0.8310488,0.00001099699,0.00003711155,0.0001662575,0.00009438494,0.1662962,0.001119584,0.000649293,0.0004668316,0.00001130149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972242,0.0002032024,0.001578994,0.00003668876,0.000003393659,0.000007680934,0.000296431,0.00005635288,0.0005929926],"genre_scores_gemma":[0.9984182,0.00008865356,0.000713481,0.000004592455,0.0000061827,0.000001642683,0.000637264,0.00000430835,0.0001257175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031072,"threshold_uncertainty_score":0.02050138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013207491895438,"score_gpt":0.2812213256920362,"score_spread":0.2680138337965982,"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."}}