{"id":"W7024885207","doi":"","title":"Star Formation and Quenching in Galaxies: Groups, Clusters, and Mergers","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Thermodynamic and Structural Properties of Metals and Alloys","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Nuclear Safety and Security Commission; Durham University; National Aeronautics and Space Administration; National Science Foundation","keywords":"Star formation; Galaxy; Quenching (fluorescence); Stellar mass; Halo; Galaxy group; Galaxy formation and evolution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006053316,0.0002402415,0.0002818822,0.0005108248,0.0002975883,0.001170572,0.000420552,0.0003777396,0.001745788],"category_scores_gemma":[0.003054506,0.0001317341,0.0003581707,0.0007693457,0.0008821398,0.0008073105,0.0009417484,0.0004843015,0.0003040403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732799,"about_ca_system_score_gemma":0.0002399583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004491707,"about_ca_topic_score_gemma":0.003158417,"domain_scores_codex":[0.9996871,0.0000630212,0.00001100753,0.00009518151,0.00008709791,0.00005660763],"domain_scores_gemma":[0.9977649,0.0008634239,0.0008598436,0.0002001229,0.00008834379,0.0002232583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002468062,0.0001246838,0.9407215,0.000128701,0.0001490164,0.00009014205,0.001998089,0.01158503,0.01044819,0.007646125,0.000751589,0.02611027],"study_design_scores_gemma":[0.000007027698,0.0001027112,0.9834088,0.00002421578,0.00003597452,0.00008912463,0.0003554283,0.007655512,0.00253479,0.003556718,0.00221335,0.00001629168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954183,0.0006424801,0.001526339,0.0001515575,0.000004691449,0.000009818438,0.0001834469,0.00004305894,0.002020188],"genre_scores_gemma":[0.9983678,0.0002308591,0.0006034957,0.0000351109,0.00001253882,0.000007945828,0.0002017377,0.0000183984,0.0005221647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004491707,"threshold_uncertainty_score":0.00893116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006287730144297413,"score_gpt":0.1656811936490904,"score_spread":0.159393463504793,"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."}}