{"id":"W2167607130","doi":"10.1051/0004-6361/200912139","title":"A search for p-modes and other variability in the binary system 85 Pegasi using MOST photometry","year":2009,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Saint Mary's University; University of Toronto; St. Mary's University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Österreichische Forschungsförderungsgesellschaft; Austrian Science Fund","keywords":"Photometry (optics); Asteroseismology; Physics; Astrophysics; Light curve; Stars; Metallicity; Context (archaeology); Amplitude; Starspot; Spectral line; Binary number; Stellar rotation; Effective temperature; Astronomy; Optics; Mathematics; Biology","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":[0.0002899618,0.0001358999,0.0001281165,0.000742099,0.0002900499,0.0004046404,0.0002022397,0.0002156875,0.001080411],"category_scores_gemma":[0.0004451433,0.0001065284,0.0002166161,0.0005491412,0.0001225054,0.0002386188,0.0003319346,0.0001715236,0.0002297587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001974017,"about_ca_system_score_gemma":0.0001494045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970896,"about_ca_topic_score_gemma":0.00537531,"domain_scores_codex":[0.9998866,0.00001452679,0.000008743412,0.00005385727,0.00002504823,0.00001128225],"domain_scores_gemma":[0.9996835,0.00004264701,0.0001528208,0.00003848033,0.00002713908,0.00005547142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000206611,0.00007528615,0.8575168,0.00006590496,0.00007658996,0.0001964105,0.0001913814,0.0004190471,0.1069878,0.0003163394,0.0004896182,0.03345812],"study_design_scores_gemma":[0.000004111448,0.00007381227,0.9946795,0.000007110453,0.00001915777,0.0001744413,0.00004228911,0.001526666,0.00275152,0.0001023023,0.0006159096,0.000003137091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961619,0.0001670061,0.001671492,0.00006481956,0.000005681263,0.00001775792,0.0004226533,0.00004799345,0.00144056],"genre_scores_gemma":[0.9942306,0.00005205112,0.00451717,0.00004299813,0.0000118642,0.000007601855,0.0008365939,0.000007804485,0.0002932849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001970896,"threshold_uncertainty_score":0.003918827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847067618595826,"score_gpt":0.2522141333454697,"score_spread":0.2337434571595114,"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."}}