{"id":"W2120357483","doi":"10.1088/0004-637x/751/1/41","title":"CHARACTERIZING LENSES AND LENSED STARS OF HIGH-MAGNIFICATION SINGLE-LENS GRAVITATIONAL MICROLENSING EVENTS WITH LENSES PASSING OVER SOURCE STARS","year":2012,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Science and Technology Facilities Council; National Research Foundation of Korea; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; National Aeronautics and Space Administration; Fédération Wallonie-Bruxelles; National Research Foundation; National Science Foundation","keywords":"Gravitational microlensing; Physics; Stars; Gravitational lens; Lens (geology); Magnification; Astrophysics; Astronomy; Gravitation; Optics; Galaxy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000342086,0.0002419374,0.0002360005,0.002322062,0.0004024212,0.0007186767,0.0002479867,0.0002950784,0.001102289],"category_scores_gemma":[0.001140756,0.0001628608,0.0003392017,0.001281452,0.0002585516,0.000409169,0.0008154475,0.0001613534,0.0001840683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916365,"about_ca_system_score_gemma":0.0001705991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005838198,"about_ca_topic_score_gemma":0.0131686,"domain_scores_codex":[0.9997507,0.00001680405,0.00002988493,0.00006323154,0.00007729379,0.00006197607],"domain_scores_gemma":[0.9982608,0.0002949161,0.000693426,0.00008869066,0.0001845207,0.000477638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001670022,0.00001767668,0.9882486,0.00001021989,0.00004641493,0.0002732738,0.000157594,0.00006826023,0.007808859,0.00003085465,0.0000347846,0.00313641],"study_design_scores_gemma":[0.000001139572,0.00001223564,0.9990554,6.782618e-7,0.000007844124,0.0002144886,0.0000729042,0.00009710316,0.0004634267,0.000007876741,0.00006535838,0.000001483148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993192,0.00005866111,0.0001261088,0.000004591127,9.874909e-7,0.000004664713,0.0001533575,0.00000605491,0.000326428],"genre_scores_gemma":[0.9989998,0.00002767117,0.0002815684,0.000005269287,0.000004836034,0.000002228838,0.0004816197,0.000003363504,0.0001935817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005838198,"threshold_uncertainty_score":0.01160842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155561827822923,"score_gpt":0.2160378471185579,"score_spread":0.2004816643362656,"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."}}