{"id":"W7066970466","doi":"","title":"A Kinematic Approach to Assessing Environmental Effects: Star-forming Galaxies in a z ~ 0.9 SpARCS Cluster Using Spitzer 24 μm Observations","year":2013,"lang":"en","type":"article","venue":"Leiden Repository (Leiden University)","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Galaxy; Star formation; Accretion (finance); Cluster (spacecraft); COSMIC cancer database; Population; Cosmic time; Galaxy cluster; RADIUS","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":[0.0004101142,0.0003909358,0.0001924821,0.002234017,0.000351583,0.0006450726,0.0004756772,0.000167223,0.0006212327],"category_scores_gemma":[0.0009181504,0.0001786572,0.0002125048,0.001454803,0.0003390649,0.0004971722,0.0005759159,0.0001616475,0.0002077234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003565608,"about_ca_system_score_gemma":0.0002480477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008707136,"about_ca_topic_score_gemma":0.01952005,"domain_scores_codex":[0.9998048,0.00003161906,0.00001343178,0.00006518647,0.00004443737,0.0000404483],"domain_scores_gemma":[0.9992858,0.0001136368,0.0002889736,0.0000821873,0.0001198907,0.0001096552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004159357,0.00002386446,0.9872698,0.00001427158,0.00004949724,0.00004813996,0.0001287278,0.001468197,0.006848413,0.0001608192,0.00005773782,0.003888953],"study_design_scores_gemma":[0.000001218051,0.00003564477,0.9964054,0.000002737558,0.00002148131,0.00004135879,0.0001394248,0.001515986,0.001521723,0.00006541736,0.0002452935,0.000004443153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955779,0.00009215082,0.00223388,0.00001127882,0.000001795992,0.00001312122,0.000654898,0.00004409132,0.001370932],"genre_scores_gemma":[0.9957736,0.00008170677,0.002751298,0.00001325156,0.000009375551,0.00001372533,0.001061691,0.00001486945,0.0002804526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008707136,"threshold_uncertainty_score":0.01731288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570070604046941,"score_gpt":0.1976397727934397,"score_spread":0.1819390667529703,"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."}}