{"id":"W2759719452","doi":"10.3847/1538-4357/aaaa1b","title":"Shaken Snow Globes: Kinematic Tracers of the Multiphase Condensation Cascade in Massive Galaxies, Groups, and Clusters","year":2018,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université de Montréal","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; Magyar Tudományos Akadémia; Generalitat Valenciana; Ministerio de Economía y Competitividad; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Halo; Turbulence; Galaxy; Line (geometry); Molecular cloud; Velocity dispersion; Accretion (finance); Cascade; Field line","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001413295,0.0001523359,0.0002388577,0.00003436142,0.0003169586,0.00006156063,0.0002188553,0.00001964498,0.00003956486],"category_scores_gemma":[0.00001398356,0.00008341086,0.0001257906,0.0001774576,0.0004346171,0.0001846118,0.0001059713,0.0003100531,0.000008629124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003344873,"about_ca_system_score_gemma":0.000040501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005937702,"about_ca_topic_score_gemma":0.000006627664,"domain_scores_codex":[0.9989206,0.0001199874,0.0003514767,0.0001113557,0.0002713586,0.0002252005],"domain_scores_gemma":[0.9992185,0.0001017612,0.0003330942,0.0001725715,0.0001153583,0.00005872381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002352111,0.003532403,0.2507521,0.0002514899,0.003509342,0.0000257826,0.1347041,0.02288056,0.09028347,0.2826056,0.007274515,0.2018286],"study_design_scores_gemma":[0.007398088,0.0008790165,0.8264374,0.0005460888,0.0003217403,0.00002947051,0.03570597,0.07646859,0.005258671,0.04609017,0.0001970124,0.0006677805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826597,0.00001519889,0.0161556,0.0006529561,0.0001267619,0.0001761465,0.00001971268,0.000003807458,0.0001901074],"genre_scores_gemma":[0.9986271,0.000003023891,0.0008201934,0.00002580697,0.0004694266,0.000006576864,0.000002345033,0.00001001519,0.00003551259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5756853,"threshold_uncertainty_score":0.3401396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009984820521387047,"score_gpt":0.2417894278693248,"score_spread":0.2318046073479378,"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."}}