{"id":"W2057733689","doi":"10.1088/2041-8205/757/2/l23","title":"A UNIFIED EMPIRICAL MODEL FOR INFRARED GALAXY COUNTS BASED ON THE OBSERVED PHYSICAL EVOLUTION OF DISTANT GALAXIES","year":2012,"lang":"en","type":"article","venue":"The Astrophysical Journal Letters","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"Agence Nationale de la Recherche","keywords":"Galaxy; Redshift; Galaxy formation and evolution; Radio galaxy; Luminous infrared galaxy; Flux (metallurgy); Infrared; COSMIC cancer database","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":[0.003165335,0.001122234,0.001282414,0.001878758,0.0007552562,0.003377426,0.005255166,0.002572658,0.005351768],"category_scores_gemma":[0.01369057,0.001112675,0.001450904,0.001921146,0.002139969,0.005821061,0.001486234,0.002055606,0.001813591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00222373,"about_ca_system_score_gemma":0.001069826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178809,"about_ca_topic_score_gemma":0.009051751,"domain_scores_codex":[0.9990332,0.0003116664,0.00004363453,0.0003207692,0.0001376176,0.0001531444],"domain_scores_gemma":[0.9943057,0.003449896,0.0007039821,0.0006188016,0.0006752899,0.000246379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008037236,0.0001403131,0.01732882,0.0001269834,0.0001300296,0.000401207,0.0004318662,0.6083291,0.001452248,0.336264,0.007104148,0.0282109],"study_design_scores_gemma":[0.00001490946,0.00001358275,0.002672727,0.00001778591,0.00002686376,0.0001457227,0.00003050334,0.9326406,0.0001306758,0.0631642,0.00111722,0.00002523778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08870152,0.0008648445,0.8937392,0.003048613,0.0001835434,0.00009202188,0.001457885,0.001084986,0.0108274],"genre_scores_gemma":[0.8897041,0.00156541,0.07986958,0.0007658877,0.0004599875,0.0003921349,0.002138848,0.0005957127,0.02450822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01178809,"threshold_uncertainty_score":0.02343899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696525451083035,"score_gpt":0.240295925311659,"score_spread":0.2133306708008287,"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."}}