{"id":"W2136107850","doi":"10.1051/0004-6361/200913382","title":"Source counts at 15 microns from the AKARI NEP survey","year":2010,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Institute of Space and Astronautical Science; Seoul National University; Japan Aerospace Exploration Agency; University of Sussex; Iran Telecommunication Research Center; National Research Foundation; Science and Technology Facilities Council; University of Tokyo; Rijksuniversiteit Groningen; National Institute of Information and Communications Technology; Imperial College London; European Space Agency","keywords":"Source counts; Physics; Astrophysics; Cosmic variance; Confusion; Galaxy; Flux (metallurgy); Point source; Astronomy; Remote sensing; Redshift; Geography; Optics","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":[0.0001602016,0.0002108169,0.0001693323,0.002748065,0.0001827311,0.0003363942,0.0003045991,0.0001182434,0.004728838],"category_scores_gemma":[0.0004445789,0.0001276598,0.0001787576,0.002147828,0.00009119871,0.0003720712,0.0007070461,0.00018099,0.001416575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201651,"about_ca_system_score_gemma":0.0002328571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009560785,"about_ca_topic_score_gemma":0.02083037,"domain_scores_codex":[0.9998513,0.00000834322,0.00001950929,0.00004464844,0.00004528901,0.00003080702],"domain_scores_gemma":[0.9995746,0.00002516963,0.0001326463,0.00005593026,0.0001195362,0.00009216312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086536,0.00004508407,0.9492875,0.00009191056,0.00008174608,0.0002508303,0.0005932693,0.000526512,0.00508275,0.0004195716,0.006174006,0.03733817],"study_design_scores_gemma":[0.000001414615,0.00001591331,0.9967471,0.000004580896,0.00001167335,0.0001341263,0.00005166278,0.0001505245,0.0002368592,0.00003126015,0.002611402,0.000003347428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634499,0.0003852255,0.001392368,0.00003634292,0.00001337976,0.00004008182,0.02450171,0.0001776078,0.01000342],"genre_scores_gemma":[0.9130443,0.0007903799,0.005018387,0.00006023336,0.0000267415,0.00009910035,0.07585973,0.00005112509,0.005049992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009560785,"threshold_uncertainty_score":0.01901031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006091940981053892,"score_gpt":0.1861212840718248,"score_spread":0.1800293430907709,"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."}}