{"id":"W1813635162","doi":"10.1111/j.1365-2966.2010.17634.x","title":"The Herschel Multi-Tiered Extragalactic Survey: source extraction and cross-identifications in confusion-dominated SPIRE images","year":2010,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; University of British Columbia","funders":"Science and Technology Facilities Council; National Astronomical Observatories, Chinese Academy of Sciences; Canadian Space Agency; Centre National de la Recherche Scientifique; Agenzia Spaziale Italiana; Ministerio de Economía y Competitividad; Centre National d’Etudes Spatiales; University of Sussex; National Aeronautics and Space Administration; Imperial College London; Cardiff University","keywords":"Spire (mollusc); Photometry (optics); Point source; Data archive; Galaxy; Wavelength","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":[0.001550769,0.0006655475,0.0004704112,0.003411694,0.0004112012,0.00107499,0.0007316272,0.0004749002,0.003082587],"category_scores_gemma":[0.002454884,0.0004430733,0.0006848759,0.002191731,0.0002764363,0.000845967,0.002197548,0.0003907554,0.002489453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005954541,"about_ca_system_score_gemma":0.000535227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008687386,"about_ca_topic_score_gemma":0.01726842,"domain_scores_codex":[0.9990537,0.0001245627,0.000046955,0.0002912935,0.0003389504,0.0001445567],"domain_scores_gemma":[0.9987271,0.0001369526,0.0002238823,0.0006215431,0.0001887563,0.000101861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002644919,0.0001826534,0.4565778,0.0003086281,0.0004483298,0.0007556448,0.0008084364,0.05064901,0.1034716,0.00869755,0.01877597,0.3590599],"study_design_scores_gemma":[0.00004676991,0.0000670966,0.8516904,0.00004603954,0.00006614052,0.0005215708,0.000156181,0.09139304,0.02671218,0.004452841,0.02471163,0.0001361684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6530058,0.0007830081,0.2901517,0.0002127628,0.00003928546,0.0002013583,0.03044851,0.0127531,0.0124044],"genre_scores_gemma":[0.6792526,0.0002982121,0.2691859,0.0001919055,0.00005094639,0.0001956375,0.04441075,0.001156942,0.005257078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008687386,"threshold_uncertainty_score":0.0172736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008511611599494623,"score_gpt":0.2399217483003369,"score_spread":0.2314101367008423,"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."}}