{"id":"W6906733330","doi":"10.17863/cam.93616","title":"Surface Ozone and Population Health","year":2022,"lang":"en","type":"dissertation","venue":"Apollo (University of Cambridge)","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Filter (signal processing); Work (physics); Term (time); Quality (philosophy); Ozone layer","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":[0.0004029046,0.0001908836,0.0001942485,0.0007165502,0.0003384349,0.001040383,0.0002227653,0.000623279,0.006915663],"category_scores_gemma":[0.001526069,0.00009079348,0.0004356727,0.001006671,0.0004010622,0.000535079,0.0008469433,0.0007390241,0.0004478035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124873,"about_ca_system_score_gemma":0.0006387557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119494,"about_ca_topic_score_gemma":0.01062218,"domain_scores_codex":[0.9996889,0.0001134216,0.00001629847,0.00006204497,0.0000582738,0.00006109291],"domain_scores_gemma":[0.9996287,0.0001011931,0.00009751126,0.00002815191,0.00008582439,0.00005866747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002126171,0.0001914962,0.5014786,0.001148009,0.0007285785,0.0004702796,0.001740427,0.0096652,0.0008292947,0.1543723,0.06683233,0.262331],"study_design_scores_gemma":[0.00003108855,0.0003225758,0.6858519,0.0008525545,0.0003175753,0.0004985846,0.002667589,0.007574975,0.0004746846,0.09367176,0.2076807,0.0000559164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4720958,0.17809,0.0103498,0.0767336,0.003566763,0.0001861111,0.01508557,0.0002746615,0.2436178],"genre_scores_gemma":[0.954852,0.0299035,0.001185227,0.001999116,0.0007264065,0.0000598181,0.001723184,0.00001370426,0.00953696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119494,"threshold_uncertainty_score":0.02313519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008066819257132495,"score_gpt":0.2031268949713846,"score_spread":0.1950600757142521,"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."}}