{"id":"W1864790716","doi":"10.1088/0004-637x/806/1/101","title":"LoCuSS: THE SLOW QUENCHING OF STAR FORMATION IN CLUSTER GALAXIES AND THE NEED FOR PRE-PROCESSING","year":2015,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Comisión Nacional de Investigación Científica y Tecnológica; National Aeronautics and Space Administration; Science and Technology Facilities Council; National Science Foundation","keywords":"Velocity dispersion; Galaxy; Star formation; Galaxy cluster; Cluster (spacecraft); Brightest cluster galaxy; Elliptical galaxy; Luminous infrared galaxy; Peculiar 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000500472,0.0001848036,0.0002429626,0.0004845056,0.0003289171,0.0007653926,0.0004107859,0.0002376323,0.0007072648],"category_scores_gemma":[0.0025556,0.0001812504,0.0001737415,0.0004298403,0.0005165075,0.0007420257,0.0005552277,0.0002395461,0.0002475709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966243,"about_ca_system_score_gemma":0.0001926877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299434,"about_ca_topic_score_gemma":0.003163622,"domain_scores_codex":[0.9997631,0.00003785397,0.00001228421,0.00007537357,0.00006808908,0.00004340907],"domain_scores_gemma":[0.9987477,0.0003279511,0.0003704192,0.0002257197,0.0001400391,0.000188152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003966714,0.00003950592,0.8940021,0.00004453239,0.00006744073,0.0002636416,0.0009015781,0.002662767,0.06279566,0.0005777284,0.0001419161,0.03810629],"study_design_scores_gemma":[0.000005225347,0.0001256376,0.9888437,0.000003806262,0.00001319244,0.0003249837,0.0002155215,0.002855604,0.0066752,0.0004391906,0.0004900999,0.000007875101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985421,0.00009316332,0.0008897687,0.00001812598,7.986201e-7,0.000005153519,0.00005081962,0.00002948415,0.0003705889],"genre_scores_gemma":[0.998785,0.00003447513,0.0008361343,0.00001124544,0.000002719998,0.00000396707,0.0001130516,0.00001051229,0.0002029355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00299434,"threshold_uncertainty_score":0.005953789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041129567516733,"score_gpt":0.2304401209816663,"score_spread":0.220028825306499,"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."}}