{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144335,0.001721369,0.001233595,0.01103813,0.001036847,0.001492267,0.002514779,0.0005849751,0.03306115],"category_scores_gemma":[0.00271446,0.000466669,0.0005133883,0.02052142,0.0004420495,0.001458005,0.001804184,0.001035996,0.05521274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001328682,"about_ca_system_score_gemma":0.002074878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03348247,"about_ca_topic_score_gemma":0.02364463,"domain_scores_codex":[0.9988496,0.0001308203,0.0001540097,0.0002185765,0.0004294482,0.0002175558],"domain_scores_gemma":[0.9959589,0.0001544626,0.0007042311,0.000962698,0.001432397,0.0007873889],"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":[0.0003361237,0.0002044466,0.04511672,0.0004591934,0.00005995017,0.0001859412,0.0001915252,0.001034521,0.002335383,0.002591883,0.9122239,0.03526053],"study_design_scores_gemma":[0.0001690192,0.00007090675,0.1900394,0.0001396197,0.000034727,0.0002737796,0.0002355698,0.001149235,0.001044099,0.001253497,0.8055289,0.00006122619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007965143,0.0003160291,0.001049158,0.0001248095,0.00006063356,0.0007057449,0.9783397,0.001487421,0.009951427],"genre_scores_gemma":[0.00596318,0.0003374325,0.003086086,0.0001311082,0.00005900661,0.0005808247,0.9865723,0.000303354,0.00296672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03348247,"threshold_uncertainty_score":0.1106005,"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."}}