{"id":"W3033943843","doi":"10.3847/1538-4357/ab8f93","title":"Efficient Methanol Production on the Dark Side of a Prestellar Core","year":2020,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Institute for Theoretical Astrophysics; University of Toronto","funders":"Jet Propulsion Laboratory; Ural Federal University; Russian Science Foundation; National Astronomical Observatory of Japan; National Radio Astronomy Observatory; Academy of Finland; National Institutes of Natural Sciences; California Institute of Technology; National Aeronautics and Space Administration; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Methanol; Physics; Carbon monoxide; Astrophysics; Photodissociation; Molecular cloud; Chemistry; Photochemistry; Stars; Catalysis","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":[0.00003458659,0.0001293591,0.000162644,0.0002854605,0.0002308472,0.0002812637,0.0001881767,0.0001335272,0.001703215],"category_scores_gemma":[0.00006486027,0.0001237235,0.00007677183,0.0001434358,0.0001841449,0.000150635,0.0002941649,0.0001561626,0.0001690812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002975883,"about_ca_system_score_gemma":0.00009662251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002549838,"about_ca_topic_score_gemma":0.002555889,"domain_scores_codex":[0.9999726,0.000001153455,8.475646e-7,0.000007847603,0.000006485728,0.00001118692],"domain_scores_gemma":[0.9999447,0.000005096714,0.00001560371,0.000006381163,0.000007134347,0.00002103459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004238628,0.0000479261,0.09270691,0.00005703917,0.00004438015,0.000481884,0.0001762843,0.001259628,0.8978232,0.0004702906,0.0003468344,0.006161735],"study_design_scores_gemma":[0.0000245198,0.0000772458,0.9089768,0.000005395339,0.00001620487,0.0002035156,0.0001403421,0.003903274,0.08521411,0.000226319,0.001204233,0.000008099603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985061,0.00004816846,0.000173304,0.00001895969,0.000001547689,0.00000167797,0.000100128,0.00002182955,0.001128375],"genre_scores_gemma":[0.9995617,0.00001242472,0.0001159961,0.000008834414,0.000001773027,0.000001162564,0.0001010098,0.000003066602,0.0001939344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002549838,"threshold_uncertainty_score":0.005697787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663554804068854,"score_gpt":0.2469320723532613,"score_spread":0.2202965243125728,"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."}}