{"id":"W4415297470","doi":"10.5194/acp-25-12923-2025","title":"Operational, diagnostic, and probabilistic evaluation of AQMEII-4 regional-scale ozone dry deposition: time to harmonize our LULC masks","year":2025,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Probabilistic logic; Deposition (geology); Ozone; Scale (ratio); Atmosphere (unit); Air quality index; Vegetation (pathology)","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":[0.01857269,0.001241636,0.001067422,0.0008892026,0.0006732758,0.002011866,0.002100536,0.00124076,0.001152308],"category_scores_gemma":[0.01924423,0.0004927429,0.001183846,0.000630402,0.0006888492,0.001779355,0.002872281,0.001501426,0.0003035933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136181,"about_ca_system_score_gemma":0.002211582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01350939,"about_ca_topic_score_gemma":0.00660399,"domain_scores_codex":[0.9943768,0.002591763,0.0003505179,0.0006245834,0.001642941,0.0004134369],"domain_scores_gemma":[0.9909881,0.00237444,0.0007609807,0.002209193,0.003123198,0.0005439869],"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":[0.001125606,0.0006853212,0.03930444,0.000186095,0.0003693526,0.0001334864,0.0003538086,0.8927498,0.01384845,0.004512713,0.005278384,0.04145258],"study_design_scores_gemma":[0.0002304888,0.0007645412,0.01385872,0.00004999909,0.00008326259,0.00004256739,0.0002065503,0.9611649,0.01843967,0.001661133,0.003412126,0.0000860323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881323,0.000285066,0.09468862,0.001068743,0.0001989444,0.000624635,0.004868513,0.003825485,0.006307808],"genre_scores_gemma":[0.9290199,0.00004288124,0.06448961,0.0001344467,0.00002454765,0.0003413456,0.005090844,0.000405777,0.0004506076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01857269,"threshold_uncertainty_score":0.09822291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199051012062394,"score_gpt":0.2298554633393292,"score_spread":0.2178649532187053,"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."}}