{"id":"W4390832298","doi":"10.48550/arxiv.2401.04415","title":"Deuterium fractionation in cold dense cores in the low-mass star forming region L1688","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Russian Science Foundation; Centre National de la Recherche Scientifique; Max-Planck-Gesellschaft","keywords":"Deuterium; Chemistry; Hydrogen; Analytical Chemistry (journal); Molecular cloud; Fractionation; Astrophysics; Atomic physics; Physics; Environmental chemistry","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":[0.00008491083,0.0001754867,0.0002478056,0.0005062107,0.0002674058,0.0002808449,0.0003129203,0.0001884611,0.0004085372],"category_scores_gemma":[0.0002160549,0.0001312463,0.0001366998,0.0002053138,0.00023126,0.0002066986,0.000384087,0.0001312862,0.00009871771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523648,"about_ca_system_score_gemma":0.0001195557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008032432,"about_ca_topic_score_gemma":0.008695246,"domain_scores_codex":[0.9999709,0.000002425237,0.000001828932,0.000009963936,0.000005166843,0.000009774022],"domain_scores_gemma":[0.9999009,0.00001569008,0.00003826216,0.000005501966,0.00001088188,0.00002875666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006528764,0.00005803894,0.7159756,0.0000685992,0.0000742456,0.000780154,0.0006044939,0.003375866,0.2706812,0.0002314987,0.0001140837,0.007383421],"study_design_scores_gemma":[0.00003058972,0.0001028116,0.9829706,0.000006344201,0.0000175757,0.00027226,0.0002720516,0.006435786,0.009225834,0.0001723991,0.0004819351,0.00001172252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997135,0.00005274478,0.0000851409,0.00000494306,5.715582e-7,9.304419e-7,0.00002460366,0.000003243915,0.0001143264],"genre_scores_gemma":[0.9996056,0.00003141971,0.0001875562,0.000005427449,0.000001431819,0.000001523822,0.00008237387,0.000004385179,0.00008028701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008032432,"threshold_uncertainty_score":0.01597136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265631456892018,"score_gpt":0.1941714194502121,"score_spread":0.1515151048812919,"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."}}