{"id":"W3089018571","doi":"10.1093/mnras/staa2911","title":"Systematic errors in dust mass determinations: insights from laboratory opacity measurements","year":2020,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; Ministry of Science and Technology, Taiwan; Alberta Livestock and Meat Agency; Academia Sinica","keywords":"Opacity; Physics; Astrophysics; Cosmic dust; Photometry (optics); Redshift; Galaxy; Interstellar medium; Wavelength; Infrared; Astronomy; Intergalactic dust; Stars; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004795406,0.0004495086,0.0003231797,0.001030216,0.0002737846,0.0007984362,0.00070796,0.0004299403,0.0005409541],"category_scores_gemma":[0.02134925,0.0002491213,0.0002989814,0.0007998137,0.0007246918,0.0006072824,0.0007631057,0.0003535901,0.0002251871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222684,"about_ca_system_score_gemma":0.0001948378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263036,"about_ca_topic_score_gemma":0.002009282,"domain_scores_codex":[0.9967114,0.001379938,0.0002262104,0.0007557528,0.0008170396,0.0001097537],"domain_scores_gemma":[0.9770578,0.0124421,0.004297634,0.004524822,0.001491927,0.0001856178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002415627,0.0001885348,0.9094977,0.0001676818,0.0002824103,0.0002608359,0.0003645224,0.02777537,0.02444808,0.002240779,0.0008178343,0.03371465],"study_design_scores_gemma":[0.00003063959,0.0002664636,0.8234625,0.00007423232,0.0001511547,0.0006932102,0.0002061669,0.1227619,0.04452595,0.004900775,0.002850495,0.00007653417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613597,0.001098423,0.03370214,0.0002038533,0.00004542293,0.00002134895,0.0006307714,0.0003840706,0.002554363],"genre_scores_gemma":[0.9980358,0.00006587723,0.001610117,0.00001665634,0.000009236357,0.000004171068,0.0001671215,0.00002459104,0.00006633082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004795406,"threshold_uncertainty_score":0.02536082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702434118168368,"score_gpt":0.2135732501052468,"score_spread":0.1965489089235631,"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."}}