{"id":"W2015430322","doi":"10.1088/0004-637x/746/2/188","title":"THE GEMINI CLUSTER ASTROPHYSICS SPECTROSCOPIC SURVEY (GCLASS): THE ROLE OF ENVIRONMENT AND SELF-REGULATION IN GALAXY EVOLUTION AT<i>z</i>∼ 1","year":2012,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":324,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo; University of Toronto","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Ministério da Ciência e Tecnologia; Science and Technology Facilities Council; Ministerio de Ciencia, Tecnología e Innovación Productiva; National Science Foundation","keywords":"Galaxy cluster; Cluster (spacecraft); Galaxy; Stellar evolution; Globular cluster; Galaxy formation and evolution; Type-cD galaxy; Brightest cluster galaxy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008173633,0.0002018223,0.0002003247,0.00003122895,0.0007248772,0.00007968325,0.0003172237,0.00002615343,0.00005895143],"category_scores_gemma":[0.000009069197,0.0001097489,0.0001043392,0.0001499695,0.0002423068,0.00037197,0.0001841982,0.0004112686,0.00005916967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002629279,"about_ca_system_score_gemma":0.00004351826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067291,"about_ca_topic_score_gemma":0.000008838919,"domain_scores_codex":[0.9980228,0.0004926341,0.0004451969,0.0001291881,0.0004286797,0.0004815354],"domain_scores_gemma":[0.9987974,0.0002672606,0.000426167,0.0003520871,0.00005569345,0.0001014432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006282623,0.0001742273,0.9830223,0.000002076368,0.00007206008,3.500393e-9,0.001133268,0.0005521962,0.004184982,0.009874689,0.0001004421,0.0008209309],"study_design_scores_gemma":[0.0004256569,0.00007283545,0.9859097,0.000008863378,0.00004150186,0.000003961273,0.0004699886,0.003540078,0.0006298621,0.008570125,0.0002260573,0.0001013664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944461,0.0001602904,0.004702384,0.0002154244,0.0001291211,0.0002432034,0.00001106049,0.000007878925,0.0000845526],"genre_scores_gemma":[0.9986266,0.00001819481,0.0004442513,0.00000222187,0.0007917581,0.00001501412,0.00001306723,0.00001963428,0.00006926764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004258133,"threshold_uncertainty_score":0.5575243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004419328248743398,"score_gpt":0.1877571112271559,"score_spread":0.1833377829784125,"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."}}