{"id":"W6929404622","doi":"10.48620/88908","title":"Near-instantaneous Atmospheric Retrievals and Model Comparison with FASTER","year":2025,"lang":"en","type":"article","venue":"Open Access CRIS of the University of Bern","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Markov chain Monte Carlo; Bayesian inference; Sampling (signal processing); Bayesian probability; Inference; Monte Carlo method; Markov chain; Posterior probability; Importance sampling","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006927061,0.00006912425,0.0002211662,0.00001081154,0.0002355321,0.00003688782,0.0009807544,0.00005505605,0.0001983182],"category_scores_gemma":[0.0000102173,0.00004899062,0.00003227453,0.0001409922,0.0004163852,0.0001842222,0.001202617,0.00009914453,0.00001389842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002648301,"about_ca_system_score_gemma":0.0001130448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002073761,"about_ca_topic_score_gemma":0.0005469771,"domain_scores_codex":[0.9995519,0.00007201615,0.00008026862,0.0001402386,0.00003604325,0.0001195332],"domain_scores_gemma":[0.9995317,0.00004960397,0.00008844497,0.0002483619,0.00006834887,0.00001351344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009667265,0.001135745,0.8840739,0.0002678676,0.002489896,0.00004642181,0.003974692,0.003584052,0.01412023,0.001304195,0.04850078,0.03083502],"study_design_scores_gemma":[0.04857997,0.003102985,0.5518644,0.002176579,0.002776224,0.0001232034,0.01912258,0.01747897,0.1967855,0.002237522,0.1541446,0.0016074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802338,0.0004298174,0.0005627768,0.0005822186,0.00002446039,0.0003157334,0.00006536015,0.000005186532,0.01778067],"genre_scores_gemma":[0.9823605,0.00006722079,0.000531873,0.00002481263,3.758301e-7,1.779193e-7,0.000008453607,0.000002718912,0.0170039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3322094,"threshold_uncertainty_score":0.313492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455620489210901,"score_gpt":0.3015773657455228,"score_spread":0.2770211608534138,"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."}}