{"id":"W2074274881","doi":"10.1088/0004-637x/701/2/1814","title":"A BACKWARD EVOLUTION MODEL FOR INFRARED SURVEYS: THE ROLE OF AGN– AND COLOR–<i>L</i><sub>TIR</sub>DISTRIBUTIONS","year":2009,"lang":"en","type":"article","venue":"The Astrophysical Journal","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physics; Astrophysics; Galaxy; Active galactic nucleus; Luminous infrared galaxy; Luminosity; Luminosity function; Galaxy formation and evolution; Infrared; Spectral energy distribution; Astronomy; Star formation","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":[0.00406795,0.000943209,0.0009598808,0.001353415,0.0007575325,0.001703039,0.00396206,0.001679396,0.003096523],"category_scores_gemma":[0.009478305,0.001326522,0.001509022,0.001176868,0.001344143,0.002926121,0.001364752,0.001636827,0.0009519755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002084184,"about_ca_system_score_gemma":0.001212921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130994,"about_ca_topic_score_gemma":0.01361649,"domain_scores_codex":[0.9990847,0.0003886034,0.00003259609,0.0002605831,0.0001176522,0.0001157748],"domain_scores_gemma":[0.9963696,0.00213365,0.0006046212,0.0003534839,0.0003929613,0.0001457717],"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":[0.00009460912,0.00004823685,0.0273768,0.0000808414,0.0001236801,0.0002225433,0.0003435243,0.8008756,0.00247152,0.1498364,0.001349047,0.01717719],"study_design_scores_gemma":[0.00001047866,0.00001420477,0.001365511,0.0000103471,0.00002134205,0.00008394489,0.00001141438,0.9787722,0.0002434787,0.01848109,0.0009695343,0.0000165262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059397,0.0004096508,0.8885324,0.0006502303,0.00004133327,0.00009944618,0.0007280722,0.0004427828,0.003156428],"genre_scores_gemma":[0.7803596,0.001157805,0.1910407,0.000575928,0.0001551075,0.0007068807,0.001937069,0.000630924,0.0234361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02130994,"threshold_uncertainty_score":0.04237181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007188813661920537,"score_gpt":0.2070366770007528,"score_spread":0.1998478633388323,"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."}}