{"id":"W2024135564","doi":"10.1088/0004-637x/716/2/1136","title":"TESTING MASS LOSS IN LARGE MAGELLANIC CLOUD CEPHEIDS USING INFRARED AND OPTICAL OBSERVATIONS. II. PREDICTIONS AND TESTS OF THE OGLE-III FUNDAMENTAL-MODE CEPHEIDS","year":2010,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cepheid variable; Astrophysics; Large Magellanic Cloud; Physics; Infrared; RADIUS; Wavelength; Effective radius; Luminosity; Astronomy; Galaxy; Stars; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781592,0.0006384027,0.0003184598,0.0006732855,0.0006187768,0.0009523256,0.0009839615,0.0007168585,0.001223744],"category_scores_gemma":[0.007809421,0.0002452418,0.0005061943,0.0005646766,0.0009267433,0.001007093,0.0009510996,0.000398556,0.0003379467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874777,"about_ca_system_score_gemma":0.0003865932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009593138,"about_ca_topic_score_gemma":0.008571409,"domain_scores_codex":[0.999175,0.000290459,0.00003634619,0.0002049036,0.0001641488,0.0001291189],"domain_scores_gemma":[0.9930018,0.004098014,0.0014826,0.0005331336,0.0002772698,0.0006071799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004332589,0.0000693281,0.9849191,0.00001689846,0.00008403162,0.0001370176,0.0001097171,0.00800628,0.003037443,0.0004014008,0.00007442247,0.002711193],"study_design_scores_gemma":[0.00007607949,0.0004183901,0.9386433,0.000008938637,0.00006168524,0.0001949714,0.0005075394,0.05618748,0.00286935,0.0007645717,0.0002499773,0.00001776748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987637,0.00004648076,0.0006885247,0.0000340297,0.000001550662,0.000004581898,0.00006682367,0.00001159865,0.0003827817],"genre_scores_gemma":[0.9995556,0.00001146903,0.0002697534,0.00001365955,0.000002952121,0.000002841078,0.00009934703,0.000003374993,0.00004085083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009593138,"threshold_uncertainty_score":0.01907456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908467168724931,"score_gpt":0.2578488157205804,"score_spread":0.2387641440333311,"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."}}