{"id":"W1990579027","doi":"10.1088/2041-8205/749/2/l43","title":"THE <i>HERSCHEL</i> FILAMENT: A SIGNATURE OF THE ENVIRONMENTAL DRIVERS OF GALAXY EVOLUTION DURING THE ASSEMBLY OF MASSIVE CLUSTERS AT <i>z</i> = 0.9","year":2012,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; California Institute of Technology; L'Oreal USA; National Aeronautics and Space Administration","keywords":"Protein filament; Supercluster (genetic); Astrophysics; Physics; Galaxy; Cluster (spacecraft); Infrared; Redshift; Star formation; Galaxy cluster; Luminosity; Spire (mollusc); Astronomy; Population; Stellar mass; Chemistry; Biology","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":[0.0001184892,0.00006130974,0.00008778064,0.0007911017,0.0006631046,0.0009063637,0.0002226597,0.0003405314,0.004164814],"category_scores_gemma":[0.0006282431,0.000115009,0.0001045174,0.0009182483,0.0003612229,0.0005055488,0.0007022129,0.0002891272,0.0005642989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006728756,"about_ca_system_score_gemma":0.0003263683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324554,"about_ca_topic_score_gemma":0.0400153,"domain_scores_codex":[0.9999262,0.000004565227,0.000001819128,0.00002192829,0.00001545413,0.00002999106],"domain_scores_gemma":[0.9994325,0.00004772517,0.0002456706,0.00004035022,0.00006897796,0.0001646852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003331804,0.00008185417,0.9202341,0.00005258006,0.0000745194,0.0005199572,0.002263243,0.0006344143,0.02714942,0.004767432,0.01841111,0.02547813],"study_design_scores_gemma":[0.000004496928,0.000007276105,0.9942845,0.000007941498,0.000006025566,0.00003990352,0.0002329934,0.0002127012,0.0003391631,0.0001779882,0.004682873,0.000004155355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835337,0.0001669107,0.0001800105,0.0004502227,0.00001366668,0.000006829536,0.002750322,0.000109894,0.01278846],"genre_scores_gemma":[0.996651,0.00006257913,0.000235401,0.00006932661,0.00001788277,0.000006930218,0.001804595,0.00003873624,0.001113467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02324554,"threshold_uncertainty_score":0.04622048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002799882521522567,"score_gpt":0.1678514024243782,"score_spread":0.1650515199028556,"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."}}