{"id":"W2015010829","doi":"10.1093/mnras/stv094","title":"Mapping galaxy encounters in numerical simulations: the spatial extent of induced star formation","year":2015,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Victoria","funders":"Mitacs; Canadian Institute for Theoretical Astrophysics; Johns Hopkins University; FAS Division of Science, Harvard University; Harvard University","keywords":"Physics; Astrophysics; Star formation; Galaxy; Galaxy merger; Galaxy formation and evolution; Astronomy; Eccentricity (behavior); Lenticular galaxy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037155,0.000613191,0.0008034579,0.0008894014,0.0007540283,0.001079618,0.001453205,0.001295057,0.001776758],"category_scores_gemma":[0.006498113,0.0004488865,0.0006463785,0.001027098,0.00120296,0.000769311,0.001183667,0.001367177,0.0001710187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224804,"about_ca_system_score_gemma":0.001398685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03487996,"about_ca_topic_score_gemma":0.02546572,"domain_scores_codex":[0.9996306,0.0001229011,0.00002564337,0.00005707946,0.00006771195,0.00009618203],"domain_scores_gemma":[0.9956982,0.002839145,0.0004101622,0.0003084683,0.0003549452,0.0003890403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002225876,0.0001996362,0.02123194,0.00005143871,0.0000935074,0.0001284209,0.0001638283,0.9719701,0.000888031,0.002701086,0.0005904723,0.001758961],"study_design_scores_gemma":[0.00007623562,0.00006466055,0.003045923,0.00001119987,0.00001883067,0.00001814649,0.000104882,0.9945287,0.0004123625,0.001283399,0.0004229266,0.0000125885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900073,0.0001597748,0.003729475,0.0002209069,0.00002483385,0.0000461613,0.0007553289,0.0001703567,0.004886001],"genre_scores_gemma":[0.9933742,0.0001031353,0.004981721,0.00008494906,0.00001350032,0.00006946809,0.0008979916,0.00005440708,0.0004206094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487996,"threshold_uncertainty_score":0.06935388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411652427898866,"score_gpt":0.2150899378622864,"score_spread":0.2009734135832978,"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."}}