{"id":"W4402856990","doi":"10.48550/arxiv.2407.15117","title":"Profiling stellar environments of gravitational wave sources","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astronomical Observations and Instrumentation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada; Department of Atomic Energy, Government of India","keywords":"Profiling (computer programming); Gravitational wave; Physics; Gravitation; Astronomy; Astrophysics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004498399,0.0001424766,0.0001452869,0.0001092897,0.00002561731,0.00001647618,0.0001193334,0.0001143763,0.00005647592],"category_scores_gemma":[0.000002605733,0.0001732832,0.00009705967,0.0001017282,0.00004855623,0.00005496392,0.0001881817,0.0002378901,0.0000486178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001413909,"about_ca_system_score_gemma":0.00002344364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001105909,"about_ca_topic_score_gemma":0.000001990329,"domain_scores_codex":[0.9994152,0.00001378196,0.0001694796,0.0002435915,0.00004659089,0.0001114182],"domain_scores_gemma":[0.9996917,0.00002278089,0.00006013838,0.0001705014,0.0000130967,0.00004174277],"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":[0.00000827549,0.00001353066,0.003389789,0.0001544357,0.0001271859,0.000005056204,0.00008553748,0.9719896,0.00107875,0.02273068,0.00002641492,0.0003907653],"study_design_scores_gemma":[0.0002660937,0.0000321655,0.004756916,0.0001152653,0.0001554769,4.0839e-7,0.0003185803,0.9658315,0.006372341,0.02150816,0.0003426194,0.0003004878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738892,0.00006841167,0.02436868,0.000006107206,0.0002575862,0.0001467363,0.00008196836,0.00006062101,0.001120653],"genre_scores_gemma":[0.9979779,0.00005593178,0.001457323,0.000003221922,0.00004142336,8.770463e-7,0.0001631075,0.00002199222,0.0002781829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0240887,"threshold_uncertainty_score":0.7066285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883116563940775,"score_gpt":0.161049444430271,"score_spread":0.1122182787908632,"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."}}