{"id":"W2625695682","doi":"10.1093/mnrasl/slx096","title":"Is the dust-to-gas ratio constant in molecular clouds?","year":2017,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society Letters","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"","keywords":"Physics; Astrophysics; Molecular cloud; Extinction (optical mineralogy); Interstellar medium; Turbulence; Cosmic dust; Mass ratio; Milky Way; Drag; Galaxy; Stars; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166789,0.0001782707,0.0002583191,0.000008016502,0.0005162751,0.0001364923,0.0007802552,0.00002593522,0.00003602962],"category_scores_gemma":[0.000007623867,0.0001124348,0.0004174724,0.0000412118,0.0003555055,0.0001021385,0.000432728,0.0002399777,0.00001895078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004386877,"about_ca_system_score_gemma":0.00002507587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006443766,"about_ca_topic_score_gemma":0.000008769193,"domain_scores_codex":[0.9989366,0.00004208817,0.0003214728,0.0002042067,0.000195447,0.0003002169],"domain_scores_gemma":[0.9989598,0.00004705296,0.0003213045,0.0005847754,0.00003276438,0.00005427873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006403722,0.0001841153,0.2262497,0.00001850628,0.0006169841,3.385327e-7,0.00483543,0.74354,0.00107464,0.00576584,0.01448313,0.003167214],"study_design_scores_gemma":[0.002707117,0.00009753218,0.6229755,0.0001640675,0.0002354065,1.272902e-8,0.005770802,0.3515165,0.008654865,0.000851362,0.006197894,0.0008289566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97163,0.00001312628,0.002145052,0.02489066,0.000158257,0.0002776724,0.00007402347,0.000005217292,0.0008059699],"genre_scores_gemma":[0.9979654,4.313332e-8,0.001056136,0.0007482093,0.0001405405,0.00002416567,0.00000294543,0.0000116939,0.00005084459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3967257,"threshold_uncertainty_score":0.4584957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008410836407561547,"score_gpt":0.2192660345661266,"score_spread":0.210855198158565,"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."}}