{"id":"W2103810866","doi":"10.1051/0004-6361/200913481","title":"Warm dusty discs: exploring the A star 24 <i>μ</i>m debris population","year":2010,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Australian Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Consejo Nacional de Investigaciones Científicas y Técnicas; Royal Commission for the Exhibition of 1851; Science and Technology Facilities Council; National Science Foundation","keywords":"Physics; Astrophysics; Circumstellar dust; Infrared excess; Photometry (optics); Stars; Astronomy; Asteroid; Debris disk; Debris; Population; Infrared; Wavelength; Circumstellar disk; Asteroid belt; Planetary system; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463195,0.0001421675,0.0001647045,0.0006394848,0.0005029303,0.0005762464,0.0003829722,0.0002798684,0.0007511875],"category_scores_gemma":[0.0002383976,0.0001170098,0.0002027684,0.0003718961,0.0002354611,0.0003194581,0.0003887991,0.0002069516,0.0002334174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003476655,"about_ca_system_score_gemma":0.0001406458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287944,"about_ca_topic_score_gemma":0.004824597,"domain_scores_codex":[0.9999399,0.000007350076,0.000002707513,0.00002263063,0.000009488132,0.00001778092],"domain_scores_gemma":[0.9998216,0.00002708925,0.00006990417,0.00001348443,0.00001903293,0.0000488549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001687312,0.00007779713,0.944193,0.00002621199,0.00003755754,0.0003964696,0.0005584941,0.0005003149,0.04650262,0.000209295,0.00009313708,0.007236417],"study_design_scores_gemma":[0.000002779692,0.00008746998,0.9961076,0.000003119265,0.0000133533,0.0003285385,0.0005271996,0.0007985295,0.001666449,0.0001016205,0.000360127,0.000003060135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992477,0.00009869618,0.0001932956,0.00001209827,4.900426e-7,0.000003348955,0.00005331556,0.000004057502,0.0003871356],"genre_scores_gemma":[0.9993525,0.0000544396,0.0003217008,0.00001344313,0.00000310515,0.00000291993,0.0001167256,0.000001699724,0.0001333809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00287944,"threshold_uncertainty_score":0.005725384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456301249845771,"score_gpt":0.2141364692785992,"score_spread":0.1995734567801415,"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."}}