{"id":"W4399363202","doi":"10.1093/mnras/stae1395","title":"WISDOM project XX. – Strong shear tearing molecular clouds apart in NGC 524","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Université Laval; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Science and Technology Facilities Council; National Science Foundation","keywords":"Physics; Tearing; Molecular cloud; Astrophysics; Shear (geology); Astronomy; Stars","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003190116,0.0001812758,0.0001351198,0.0009663841,0.0004511444,0.000751117,0.0003024579,0.0002201599,0.02161238],"category_scores_gemma":[0.0006543274,0.00008575081,0.0001360415,0.0008846387,0.0001787009,0.0002806628,0.0007540931,0.0001607287,0.004587808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502891,"about_ca_system_score_gemma":0.000508685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118755,"about_ca_topic_score_gemma":0.02537464,"domain_scores_codex":[0.99986,0.00002182786,0.000005807097,0.00003395842,0.00004671332,0.00003161038],"domain_scores_gemma":[0.999467,0.00004756742,0.0001071339,0.0001095931,0.000114311,0.0001545718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001012143,0.000199467,0.4015422,0.0002924677,0.00008889734,0.001262444,0.001276627,0.003308481,0.0229643,0.006897499,0.3435693,0.2175862],"study_design_scores_gemma":[0.00005929661,0.00006558912,0.7494937,0.00006052775,0.00001729231,0.0001701405,0.000659732,0.001442355,0.001960251,0.001282978,0.2447743,0.00001379771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6929336,0.0005601916,0.003050151,0.002215674,0.0002853361,0.0002047873,0.1072427,0.001666107,0.1918415],"genre_scores_gemma":[0.7961178,0.000422759,0.006292706,0.0003811816,0.000229387,0.00022209,0.1248746,0.0005239755,0.07093548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161238,"threshold_uncertainty_score":0.07230061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009479417622580357,"score_gpt":0.2352752902633717,"score_spread":0.2257958726407913,"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."}}