{"id":"W2133385779","doi":"10.1088/0004-637x/692/1/81","title":"TESTING MASS LOSS IN LARGE MAGELLANIC CLOUD CEPHEIDS USING INFRARED AND OPTICAL OBSERVATIONS","year":2009,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Cepheid variable; Metallicity; Physics; Astrophysics; Large Magellanic Cloud; Infrared; Luminosity; Astronomy; Stars; Galaxy","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":[0.001068412,0.0004564153,0.0002502211,0.001054423,0.0003394029,0.0007910682,0.0005833497,0.0003838024,0.0009613402],"category_scores_gemma":[0.004083128,0.0002012675,0.0002786897,0.0007565536,0.0003479198,0.0008416533,0.00058459,0.0002466784,0.0003727715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005951466,"about_ca_system_score_gemma":0.0001836399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00833458,"about_ca_topic_score_gemma":0.005861581,"domain_scores_codex":[0.9994878,0.0001199458,0.0000267939,0.0001576413,0.0001445184,0.00006333723],"domain_scores_gemma":[0.9968603,0.001546312,0.0008072073,0.000275375,0.0002758499,0.0002349706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002391452,0.00005291672,0.986206,0.00001342428,0.000052687,0.0001344211,0.0001375202,0.004361866,0.003936836,0.0001461384,0.00005734631,0.004661586],"study_design_scores_gemma":[0.000008750215,0.0001125081,0.9749761,0.000004249732,0.00002043731,0.0000960602,0.0001544827,0.02214663,0.002119996,0.0001153195,0.0002395301,0.000005886971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981161,0.00005728473,0.0008979596,0.00001185463,0.000001450693,0.000005713892,0.0001424574,0.00002179596,0.000745436],"genre_scores_gemma":[0.9993562,0.00001705118,0.0003070426,0.000005117144,0.000001840635,0.000002734109,0.0001972601,0.000004377635,0.000108452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00833458,"threshold_uncertainty_score":0.01657212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803535719857604,"score_gpt":0.2599062377778842,"score_spread":0.2318708805793082,"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."}}