{"id":"W3180183447","doi":"10.1093/mnras/stab3756","title":"Prospects of discovering subsolar primordial black holes using the stochastic gravitational wave background from third-generation detectors","year":2021,"lang":"en","type":"preprint","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"College of Natural Resources and Sciences, Humboldt State University; Instituto Nazionale di Fisica Nucleare; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Onderwijs, Cultuur en Wetenschap; National Science Foundation","keywords":"Physics; Primordial black hole; Astrophysics; Einstein Telescope; Redshift; Dark matter; Gravitational wave; Solar mass; Gravitational wave background; Binary black hole; Cosmic microwave background; Galaxy; Quantum mechanics","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":[0.002889464,0.0005671989,0.0004275357,0.001048117,0.0002899924,0.001244524,0.0006059345,0.0007968658,0.001756543],"category_scores_gemma":[0.002489248,0.0004152663,0.0003206166,0.0009558681,0.0008014449,0.001377199,0.001174432,0.0006055639,0.0002896308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048347,"about_ca_system_score_gemma":0.0003237141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007186637,"about_ca_topic_score_gemma":0.001447584,"domain_scores_codex":[0.9996606,0.0001173916,0.000007535272,0.00007476992,0.00007084517,0.00006893951],"domain_scores_gemma":[0.9978067,0.0009770059,0.0003000183,0.000342058,0.0002514828,0.0003228145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001349907,0.0003637237,0.4106748,0.0002708287,0.000422759,0.0006848891,0.0003672081,0.02576657,0.1449539,0.2194206,0.009108841,0.1866159],"study_design_scores_gemma":[0.0002720002,0.0006204998,0.2271348,0.0001449492,0.0002608283,0.001160796,0.000332725,0.3246536,0.1189225,0.289141,0.03712663,0.0002297095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8265601,0.003238554,0.1434588,0.004015505,0.0001597056,0.00005925071,0.001307876,0.0009215887,0.02027864],"genre_scores_gemma":[0.9727082,0.0005428719,0.0248091,0.0001981435,0.00008134972,0.00002281874,0.0006440213,0.00003693821,0.0009565472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002889464,"threshold_uncertainty_score":0.01528114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02044499447500101,"score_gpt":0.2390795780390247,"score_spread":0.2186345835640237,"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."}}