{"id":"W4214932051","doi":"10.1093/mnras/stac553","title":"Constraining blazar heating with the 2 ≲<i>z</i>≲ 3 Lyman-α forest","year":2022,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Science and Engineering Research Council; Ontario Ministry of Economic Development, Job Creation and Trade; University of Cambridge; Government of Canada; Ministero dello Sviluppo Economico; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada; H2020 European Research Council; National Aeronautics and Space Administration","keywords":"Physics; Blazar; Reionization; Astrophysics; Redshift; Observable; Radiative transfer; COSMIC cancer database; Galaxy; Gamma ray","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":[0.0006137755,0.0004399459,0.0002670125,0.0002985055,0.0002252387,0.0008899909,0.0005559158,0.0004959255,0.0007934096],"category_scores_gemma":[0.001396168,0.0002148476,0.0005907839,0.0003422264,0.000377488,0.0004198296,0.0003641274,0.0003094206,0.0001995451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999946,"about_ca_system_score_gemma":0.0002032283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008579781,"about_ca_topic_score_gemma":0.005030008,"domain_scores_codex":[0.999872,0.00003183147,0.000003916138,0.00004616185,0.00001288585,0.00003325976],"domain_scores_gemma":[0.9993087,0.000237534,0.0001934764,0.0001122824,0.00003302615,0.000115023],"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":[0.0003006907,0.00006876731,0.6523787,0.00003845746,0.0002459057,0.0001945632,0.0001072727,0.3247006,0.01332883,0.002920423,0.0004554742,0.005260303],"study_design_scores_gemma":[0.00005278127,0.00008196265,0.2907878,0.00001553565,0.0001006046,0.000101229,0.00006882268,0.7007978,0.005213748,0.001900397,0.0008510815,0.00002824534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952944,0.00007041208,0.003601137,0.00003991131,0.00000214586,0.000003912702,0.0001915869,0.0001166479,0.0006798745],"genre_scores_gemma":[0.9993956,0.00001216549,0.000425138,0.000008378319,0.00000233256,0.000001160489,0.0001147996,0.000009309826,0.00003111353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008579781,"threshold_uncertainty_score":0.01705968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006083544294200175,"score_gpt":0.1842306718787849,"score_spread":0.1781471275845848,"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."}}