{"id":"W2315247424","doi":"10.1088/0004-637x/733/1/73","title":"ERRATUM: “GRAVITATIONAL LENS MODELING WITH GENETIC ALGORITHMS AND PARTICLE SWARM OPTIMIZERS” (2011, ApJ, 727, 80)","year":2011,"lang":"en","type":"erratum","venue":"The Astrophysical Journal","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Physics; Particle swarm optimization; Gravitation; Genetic algorithm; Statistical physics; Algorithm; Astrophysics; Astronomy; Machine learning; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001103049,0.0003652046,0.0003781685,0.00008278368,0.000264213,0.0002142113,0.0003043626,0.0001943487,0.00007876267],"category_scores_gemma":[0.00001508737,0.0002443219,0.0001283091,0.0001636246,0.000151425,0.0002007833,0.00005868972,0.001837995,0.0001435718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005546549,"about_ca_system_score_gemma":0.00008515915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000716533,"about_ca_topic_score_gemma":9.354563e-7,"domain_scores_codex":[0.9983468,0.00006311761,0.0003629984,0.0002339729,0.000484258,0.0005088396],"domain_scores_gemma":[0.9991707,0.00004761243,0.00009001266,0.0002535252,0.0001454476,0.000292724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001826404,0.0002797029,0.00004473418,0.0001412086,0.001035718,0.0001325556,0.0009227484,0.7377578,0.001217837,0.00324089,0.2457483,0.009295886],"study_design_scores_gemma":[0.0006602383,0.0002714228,0.0008200982,0.0001180253,0.0002709915,0.0001751162,0.0001008706,0.9920671,0.00003517284,0.003023237,0.001962783,0.0004949686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02036706,0.002054081,0.9657401,0.0006372842,0.007264611,0.0002664484,0.00004244171,0.0001988029,0.003429168],"genre_scores_gemma":[0.5929191,0.004687412,0.3493898,0.001004691,0.02110798,0.00006824221,0.000225848,0.0009312291,0.0296657],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6163503,"threshold_uncertainty_score":0.9963157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612689207865512,"score_gpt":0.2090130137453702,"score_spread":0.1928861216667151,"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."}}