{"id":"W4389260710","doi":"10.48550/arxiv.2311.18067","title":"A Two-Component Probability Distribution Function Describes the mid-IR Emission from the Disks of Star-Forming Galaxies","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo; Deutsche Forschungsgemeinschaft; European Southern Observatory; Belgian Federal Science Policy Office; Canadian Institute for Theoretical Astrophysics; European Commission; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution; Flatiron Health; Space Telescope Science Institute; Alexander von Humboldt-Stiftung; National Aeronautics and Space Administration; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy; Star formation; Stars; Spiral galaxy; Molecular cloud; Power law; Initial mass function; Astronomy","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":[0.0007337459,0.0006259349,0.0004229074,0.001374391,0.000324374,0.001070385,0.001256993,0.0007119136,0.001793164],"category_scores_gemma":[0.003023698,0.0003193902,0.0008156628,0.0009848033,0.0005420553,0.00111203,0.0002720394,0.0003941189,0.0007628731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007903151,"about_ca_system_score_gemma":0.0002973866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006563351,"about_ca_topic_score_gemma":0.003018681,"domain_scores_codex":[0.9997413,0.00004434861,0.00001041644,0.00009347896,0.00006245411,0.00004803485],"domain_scores_gemma":[0.9987447,0.0006260802,0.0002173499,0.0001901485,0.0001666465,0.00005494156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002989009,0.0002995218,0.3650224,0.0002425585,0.0004486003,0.001191859,0.0004895087,0.4524464,0.04784047,0.02774556,0.0047441,0.09923009],"study_design_scores_gemma":[0.0000278824,0.00007190434,0.1846817,0.00001642574,0.00004514544,0.001237355,0.0000649368,0.796722,0.002853352,0.01188497,0.002344383,0.00005000205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5474994,0.000785707,0.4431098,0.0002719405,0.00002664129,0.0001346333,0.001943144,0.001551059,0.004677772],"genre_scores_gemma":[0.9818599,0.0003196781,0.01425478,0.00004401995,0.00005467171,0.00009803494,0.001405936,0.0000799261,0.001883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006563351,"threshold_uncertainty_score":0.01305032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07515253254508811,"score_gpt":0.2126229868770954,"score_spread":0.1374704543320073,"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."}}