{"id":"W2901385051","doi":"10.3847/2041-8213/aaf16a","title":"Do Spectroscopic Dense Gas Fractions Track Molecular Cloud Surface Densities?","year":2018,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cloud computing; Track (disk drive); Surface (topology); Materials science; Environmental science; Computer science; Mathematics; Geometry","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":[0.0002449191,0.0001127465,0.0001729123,0.0007343395,0.0001759319,0.0006242808,0.0002468638,0.0002186918,0.000939183],"category_scores_gemma":[0.00145582,0.0001866291,0.00009173635,0.0005864411,0.000296225,0.0005149485,0.0003268562,0.0001322002,0.0002538244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254642,"about_ca_system_score_gemma":0.0000906854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009791838,"about_ca_topic_score_gemma":0.01152293,"domain_scores_codex":[0.9999063,0.00001188847,0.00000533808,0.0000329198,0.00002274344,0.00002074217],"domain_scores_gemma":[0.999139,0.0001848923,0.0003557407,0.00009409404,0.0001268334,0.00009944446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004621088,0.000007692424,0.9896785,0.000008264212,0.00002827796,0.00001867092,0.00007838824,0.0004354101,0.006862055,0.0001289873,0.00005179511,0.002655826],"study_design_scores_gemma":[0.000001311363,0.000004841165,0.997937,0.000001573343,0.000003408817,0.00001464639,0.0000450888,0.001213552,0.0006055994,0.00009014893,0.00008145614,0.000001475256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983643,0.0001067322,0.0005406984,0.00002110303,0.000001341764,0.000002715031,0.0002166026,0.00001651489,0.0007300639],"genre_scores_gemma":[0.9996574,0.00001979864,0.0001290779,0.000007045588,0.00000205129,8.376371e-7,0.0001206506,0.00000200817,0.0000611432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009791838,"threshold_uncertainty_score":0.01946974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008345416933038457,"score_gpt":0.2421316362032457,"score_spread":0.2337862192702072,"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."}}