{"id":"W4388860815","doi":"10.3390/atmos14121711","title":"Land-Use Regression Analysis of Summer Tropospheric Ozone Concentrations in Ireland","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Environmental Protection Agency; Trent University","keywords":"Environmental science; Air quality index; Air pollution; Tropospheric ozone; Ozone; Atmospheric sciences; Regression analysis; Ground Level Ozone; Land use; Woodland; Meteorology; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002164094,0.00008068385,0.0002123458,0.000005216198,0.00007043873,0.00001100082,0.00009255124,0.00007095659,0.003147354],"category_scores_gemma":[0.00006894473,0.00006536019,0.00005764947,0.001978426,0.00008665659,0.0001869015,0.00005286121,0.00008742324,0.0002705826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007709695,"about_ca_system_score_gemma":0.00001692708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006147536,"about_ca_topic_score_gemma":0.009319843,"domain_scores_codex":[0.9990184,0.00008438213,0.0002622568,0.0001756443,0.0002096857,0.0002496618],"domain_scores_gemma":[0.9994716,0.0001224578,0.00009331955,0.0002045518,0.000005568699,0.0001025246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001958664,0.00004591522,0.9638572,0.00000858603,0.00002917738,0.00000680184,0.0006625992,0.02516028,0.00009052249,0.00007604903,0.008308919,0.001734336],"study_design_scores_gemma":[0.0002725429,0.00003617571,0.9602235,0.00002006305,0.00005938937,2.300631e-7,0.000209695,0.03396347,0.00004332041,0.0000752406,0.005019616,0.00007676291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971604,0.00006053439,0.0001989685,0.0008914772,0.00004135518,0.0001149779,0.00001305593,0.00003467745,0.001484607],"genre_scores_gemma":[0.9970859,0.000211762,0.0007696745,0.0003848939,0.000008649304,0.000006132924,0.00003841392,0.000006921368,0.001487603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008803186,"threshold_uncertainty_score":0.9977639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426746931687563,"score_gpt":0.3186254595312392,"score_spread":0.2743579902143636,"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."}}