{"id":"W4206490075","doi":"10.21203/rs.3.rs-1160548/v1","title":"The first deep-learning search for radio technosignatures from 820 nearby stars","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Gamma-ray bursts and supernovae","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Laidlaw Foundation; Breakthrough Prize Foundation","keywords":"Stars; Astronomy; Astrophysics; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005609981,0.001001977,0.0006830345,0.001449484,0.0006236465,0.001114586,0.001087995,0.001817734,0.002451494],"category_scores_gemma":[0.002980236,0.0004340926,0.001125568,0.001188071,0.0004075965,0.001280526,0.001564254,0.001313524,0.001670457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006346022,"about_ca_system_score_gemma":0.0007584723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006588945,"about_ca_topic_score_gemma":0.009831072,"domain_scores_codex":[0.9996081,0.00005787041,0.00001652632,0.0001421152,0.00006629721,0.0001091414],"domain_scores_gemma":[0.9988153,0.0004411537,0.0001334783,0.0002094772,0.0001876622,0.0002130127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002062458,0.001562009,0.2952883,0.0006627763,0.001276363,0.001090155,0.0006178638,0.1003837,0.04904662,0.005557957,0.06051328,0.4819385],"study_design_scores_gemma":[0.0001929726,0.0004803213,0.1296735,0.00009152726,0.000332247,0.0004915231,0.000678747,0.8207833,0.01776936,0.01624713,0.01318848,0.00007091563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783292,0.001011586,0.01188364,0.0006903544,0.00009273372,0.00002574349,0.003844903,0.0009726616,0.003149206],"genre_scores_gemma":[0.97202,0.0001582688,0.01120455,0.0001921461,0.00007599132,0.00001430727,0.01325149,0.0001225979,0.002960615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006588945,"threshold_uncertainty_score":0.01310116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157611780847797,"score_gpt":0.333297741375589,"score_spread":0.3017216235671111,"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."}}