{"id":"W1484879891","doi":"10.1063/1.2821276","title":"A Bayesian re-analysis of HD 11964: evidence for three planets","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Planet; Markov chain Monte Carlo; Bayesian probability; Bayesian inference; Radial velocity; Population; Physics; Planetary system; Monte Carlo method; Terrestrial planet; Computer science; Astrophysics; Algorithm; Astronomy; Statistics; Mathematics; Artificial intelligence; Stars","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":[0.0004594361,0.0002092238,0.0004975621,0.0001924744,0.0001200133,0.00005293612,0.0002597584,0.00005717186,0.0004108122],"category_scores_gemma":[0.00008725794,0.0001873041,0.0001811301,0.00042364,0.0000935218,0.0001674503,0.00004771891,0.0001142968,0.00000950446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001539804,"about_ca_system_score_gemma":0.000051969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005858159,"about_ca_topic_score_gemma":0.0002515287,"domain_scores_codex":[0.9985925,0.000003391624,0.0004016188,0.0003601213,0.0002561065,0.0003862685],"domain_scores_gemma":[0.998607,0.0005112204,0.0002787089,0.0001369509,0.0003694664,0.00009669295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001032876,0.00003668478,0.9845562,0.0000471902,0.0009508047,4.584559e-7,0.001348089,0.000002261303,0.0001906675,0.005040603,0.0007708069,0.006952954],"study_design_scores_gemma":[0.0003998273,0.0001839698,0.978763,0.0001090257,0.001974955,7.59326e-7,0.001336578,0.009682792,0.0007685216,0.005505955,0.0009454024,0.00032919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4264002,0.0007531149,0.3745422,0.0009495419,0.0003902894,0.001381571,0.00008897231,0.0001157546,0.1953783],"genre_scores_gemma":[0.9984726,0.00001245732,0.00100573,0.00005423584,0.0001841316,0.00002469621,0.00003452417,0.00001114111,0.0002005008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5720723,"threshold_uncertainty_score":0.7638041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05777699419572173,"score_gpt":0.2976171385384074,"score_spread":0.2398401443426857,"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."}}