{"id":"W2066703355","doi":"10.1093/mnras/sts585","title":"Inferring the mass of submillimetre galaxies by exploiting their gravitational magnification of background galaxies","year":2013,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Science and Technology Facilities Council","keywords":"Physics; Astrophysics; Galaxy; Astronomy; Gravitational lens; Extragalactic astronomy; Star formation; Stellar mass; Redshift; Dark matter; Extinction (optical mineralogy); Galaxy formation and evolution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002321183,0.0002379856,0.0001627729,0.001001696,0.0001417973,0.0005208684,0.0002286485,0.0002223316,0.001505295],"category_scores_gemma":[0.00132796,0.0001776253,0.0002820879,0.0005195747,0.0001334185,0.0002950606,0.0003110758,0.0001397176,0.0003979508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213152,"about_ca_system_score_gemma":0.00008912715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007867352,"about_ca_topic_score_gemma":0.0118634,"domain_scores_codex":[0.9998643,0.00001314048,0.000006666603,0.00005213293,0.00003150295,0.00003225851],"domain_scores_gemma":[0.9993631,0.0001445827,0.0002654461,0.0001010502,0.00004947753,0.00007644032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000332554,0.000009568856,0.9811358,0.00001048209,0.00005223584,0.0000417162,0.00007088832,0.0004916239,0.01104893,0.0001657301,0.0001195639,0.006820229],"study_design_scores_gemma":[7.352682e-7,0.000006944223,0.9983584,0.00000158816,0.000006462051,0.00004318987,0.00002272493,0.0007324422,0.0006073347,0.00005424373,0.0001643138,0.000001480079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959246,0.000162524,0.002021241,0.00002336711,0.000003376679,0.000003801582,0.0004266907,0.00005929075,0.001375162],"genre_scores_gemma":[0.9985268,0.00005079966,0.000889518,0.00001134212,0.000006589753,0.000001963355,0.000355436,0.00000393586,0.0001535772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007867352,"threshold_uncertainty_score":0.01564312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014240913591179,"score_gpt":0.1967146716651138,"score_spread":0.1865722625292021,"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."}}