{"id":"W6929438554","doi":"10.48660/25030151","title":"Fast radio bursts as precursor radio emission from monster shocks","year":2025,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Monster; Radio wave; Noise (video); Radio astronomy; Key (lock)","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":[0.000251884,0.0004698627,0.0001489945,0.0006019748,0.0004075444,0.001978168,0.0004679343,0.0008388543,0.1077162],"category_scores_gemma":[0.0005424328,0.0001432657,0.0002089112,0.0003436342,0.0002087244,0.0003970378,0.001035993,0.0004998358,0.02729471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008786563,"about_ca_system_score_gemma":0.0004953043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008122887,"about_ca_topic_score_gemma":0.02246939,"domain_scores_codex":[0.9999233,0.000009775385,0.000001967996,0.00001330764,0.00003255623,0.00001903105],"domain_scores_gemma":[0.9998567,0.00002100127,0.00002242419,0.00002237792,0.00003344207,0.0000440335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008154701,0.000192496,0.01332237,0.0003998589,0.00005460549,0.001446905,0.000199269,0.002636973,0.01239716,0.05386811,0.588635,0.3260318],"study_design_scores_gemma":[0.0000859038,0.0001295366,0.05824764,0.0001785654,0.00002867274,0.000357242,0.0001434693,0.003539253,0.003715733,0.007792528,0.9257493,0.00003206038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02432984,0.001222291,0.001372076,0.001379813,0.0005823853,0.0001093222,0.006478528,0.00165004,0.9628757],"genre_scores_gemma":[0.1289791,0.001415268,0.001838304,0.0006607767,0.0005344467,0.00005082337,0.009593211,0.0006861162,0.8562418],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1077162,"threshold_uncertainty_score":0.3603467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109485265791215,"score_gpt":0.2560471874936707,"score_spread":0.2449523348357586,"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."}}