{"id":"W6906226724","doi":"10.15781/t2jm23j69","title":"The HST/ACS Coma Cluster Survey. II. Data Description and Source Catalogs","year":2016,"lang":"en","type":"other","venue":"Texas ScholarWorks (Texas Digital Library)","topic":"","field":"","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; Ministerio de Ciencia e Innovación; Associated Universities; National Aeronautics and Space Administration; National Radio Astronomy Observatory; Deutsche Forschungsgemeinschaft; Space Telescope Science Institute; National Science Foundation","keywords":"Coma Cluster; Globular cluster; Photometry (optics); Galaxy; Coma (optics); Population; Galaxy cluster; Cluster (spacecraft)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.001424419,0.001753168,0.001205442,0.0007201674,0.0007998516,0.009104253,0.005591451,0.00153252,0.001577619],"category_scores_gemma":[0.0009421379,0.001193508,0.0002224596,0.0009211369,0.00158017,0.01334181,0.009114802,0.002128424,0.03286231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328125,"about_ca_system_score_gemma":0.0003558506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017616,"about_ca_topic_score_gemma":0.0003979564,"domain_scores_codex":[0.9921828,0.0009056525,0.001200422,0.002569885,0.001342819,0.001798448],"domain_scores_gemma":[0.9907031,0.001164918,0.001177166,0.006038706,0.00009462296,0.0008215012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002585741,0.0002047342,0.07844567,0.0000604327,0.0003724556,0.00002650236,0.00001005477,5.652814e-7,0.000002263335,0.000288999,0.9098537,0.01047604],"study_design_scores_gemma":[0.001625459,0.000123132,0.03070289,0.0009098783,0.0001152959,0.00007832338,0.000008309335,0.0000486829,0.00001202121,0.0005075248,0.9642487,0.001619843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005400048,0.01852341,0.0007023411,0.001165706,0.001587188,0.002900264,0.06152467,0.004660284,0.9035361],"genre_scores_gemma":[0.01235366,0.0008502451,0.0002408643,0.0006432796,0.001202627,0.00002954092,0.03314962,0.005041241,0.9464889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05439494,"threshold_uncertainty_score":0.9997888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000255883052253,"score_gpt":0.2446654811262885,"score_spread":0.214662922295766,"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."}}