{"id":"W4387099760","doi":"10.3847/2041-8213/acf668","title":"Gear Up for the Action Replay: Leveraging Lensing for Enhanced Gravitational-wave Early Warning","year":2023,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Action (physics); Gravitational wave; Computer science; Physics; Astronomy","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":[0.00134415,0.0006622208,0.0004554235,0.0008205363,0.0002793894,0.0007754785,0.0006899968,0.0004883271,0.001096647],"category_scores_gemma":[0.007379889,0.0002098819,0.000287166,0.0004480716,0.0003158139,0.001266218,0.0006753532,0.0008031796,0.0002402602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505306,"about_ca_system_score_gemma":0.0004496419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369117,"about_ca_topic_score_gemma":0.009604207,"domain_scores_codex":[0.999697,0.00008269808,0.00001243314,0.00006593171,0.00008143156,0.0000606644],"domain_scores_gemma":[0.9968238,0.001454771,0.0006840234,0.0004158668,0.000377549,0.0002440257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00103627,0.0002493573,0.1365091,0.00009792887,0.0002675844,0.0003609582,0.0002152346,0.7262849,0.01880787,0.004469231,0.00274114,0.1089606],"study_design_scores_gemma":[0.00001263437,0.00006523151,0.01157422,0.000004285151,0.00001567706,0.00002404771,0.00001703687,0.9827542,0.004091635,0.001086302,0.0003350862,0.00001960053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903196,0.0003546333,0.08977169,0.0005871815,0.00006481584,0.00003271536,0.0003591483,0.002938256,0.002695505],"genre_scores_gemma":[0.9902717,0.0000293647,0.009366909,0.00001654836,0.00001458512,0.000004068244,0.0001053215,0.00003239025,0.0001589864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01369117,"threshold_uncertainty_score":0.02722299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04524065259772003,"score_gpt":0.3393536564335203,"score_spread":0.2941130038358003,"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."}}