{"id":"W6902219344","doi":"10.6084/m9.figshare.23677356.v1","title":"Overview of TEMPO Support by the ASDC: Anticipated Applications in Air Quality, Science, and Health","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suite; Atmospheric research; Troposphere; Research center; Environmental research; Air pollution; Center (category theory); Air quality index","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007807455,0.001056034,0.0003932446,0.004276696,0.001069441,0.004555608,0.001797797,0.001385726,0.06727453],"category_scores_gemma":[0.006434297,0.0003827733,0.0007001517,0.004584231,0.0003020228,0.004025409,0.003486953,0.001454153,0.03566914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813752,"about_ca_system_score_gemma":0.006048508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007874091,"about_ca_topic_score_gemma":0.008157688,"domain_scores_codex":[0.9977743,0.0002955512,0.0001657633,0.0002188962,0.001187467,0.0003580464],"domain_scores_gemma":[0.9916818,0.0006887233,0.0003233567,0.0005314012,0.004407474,0.00236734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001371091,0.0001400235,0.002408651,0.0006682835,0.00001437799,0.00006915355,0.00009390624,0.0007218901,0.001798336,0.01052686,0.5187678,0.4646536],"study_design_scores_gemma":[0.00001820555,0.0000621896,0.001648825,0.0001997738,0.000005948403,0.0000688979,0.00004302484,0.0004785265,0.0004291317,0.001093229,0.9959408,0.00001142984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009571076,0.04983819,0.07431825,0.04304076,0.01148468,0.003116178,0.04975694,0.02056094,0.738313],"genre_scores_gemma":[0.07003605,0.1568122,0.247741,0.01350493,0.01134535,0.004246664,0.191805,0.00661868,0.2978902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06727453,"threshold_uncertainty_score":0.2250557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2706168549694911,"score_gpt":0.5071922422927849,"score_spread":0.2365753873232939,"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."}}