{"id":"W4376274693","doi":"10.1051/0004-6361/202244958","title":"BEYONDPLANCK","year":2023,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020; Tekes; National Aeronautics and Space Administration; China Scholarship Council; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Japan Society for the Promotion of Science; Norges Forskningsråd; Academy of Finland; Partnership for Advanced Computing in Europe AISBL; Killam Trusts; Ministry of Education, Culture, Sports, Science and Technology; Universidade de São Paulo; European Commission; Universitetet i Oslo; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Frequentist inference; Realization (probability); Bayesian probability; Physics; Cosmic microwave background; Statistical physics; Algorithm; Computer science; Bayesian inference; Statistics; Artificial intelligence; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001109988,0.00149619,0.0007012452,0.001466039,0.00153351,0.006108664,0.001978678,0.002102596,0.5321854],"category_scores_gemma":[0.004979875,0.0008298585,0.0008130686,0.001413203,0.001079354,0.00630916,0.004463627,0.002622828,0.3031243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191643,"about_ca_system_score_gemma":0.002252965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620287,"about_ca_topic_score_gemma":0.00455005,"domain_scores_codex":[0.9988176,0.0002419469,0.00006754509,0.0003051904,0.0003931705,0.0001745243],"domain_scores_gemma":[0.9978585,0.00061569,0.0001209587,0.0006488981,0.0003322878,0.0004237807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003109601,0.00007221277,0.0006946254,0.0005733783,0.00002570358,0.0003781397,0.0003179064,0.002816006,0.001685955,0.1053763,0.5787649,0.3089838],"study_design_scores_gemma":[0.00001563112,0.00001393449,0.0001855848,0.0001235562,0.000004881065,0.0001315588,0.00005310758,0.001329737,0.0006246027,0.01735063,0.9801453,0.0000214486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002515534,0.003576956,0.09359335,0.004220583,0.00245356,0.000256356,0.01340112,0.0488854,0.8310972],"genre_scores_gemma":[0.0408478,0.004997263,0.06919705,0.002408523,0.0005275144,0.0005594494,0.02469434,0.04299159,0.8137765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5321854,"threshold_uncertainty_score":0.6672808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008577258536405936,"score_gpt":0.2097028838473156,"score_spread":0.2011256253109097,"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."}}