{"id":"W1992087048","doi":"10.1016/s0269-7491(00)00228-1","title":"Use of passive ambient ozone (O3) samplers in vegetation effects assessment","year":2001,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Minnesota","keywords":"Ozone; Environmental science; Elevation (ballistics); Weibull distribution; Atmospheric sciences; Vegetation (pathology); Pollutant; Frequency distribution; Meteorology; Statistics; Mathematics; Chemistry; Geology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008255275,0.00009835156,0.0001113417,0.00002331939,0.00005022885,0.00001266769,0.00006556428,0.00006378377,0.00008651079],"category_scores_gemma":[0.00001918725,0.00004765309,0.00004428943,0.0001518863,0.00005399255,0.0001847133,0.00003356693,0.00007950745,0.00002464996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208776,"about_ca_system_score_gemma":0.000003208133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139732,"about_ca_topic_score_gemma":0.0003071457,"domain_scores_codex":[0.9991032,0.0001346439,0.0001765354,0.0001828992,0.0002168439,0.0001858752],"domain_scores_gemma":[0.9996802,0.0001332123,0.00009636325,0.00004050578,0.000002050142,0.00004763109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006646626,0.0001683287,0.03792591,0.000002570203,0.000006216249,0.0000119638,0.00002596184,0.0003152876,0.9217793,0.00003785653,0.00002901601,0.03963117],"study_design_scores_gemma":[0.0001887384,0.0002277136,0.9726592,0.00002471587,0.000007162543,0.000008042716,0.00005268913,0.0003766906,0.02448561,0.00005644788,0.001816401,0.00009663294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991967,0.00005187117,0.00002984973,0.0003083329,0.00005936113,0.0002482576,0.00003722939,0.00001562094,0.00005277925],"genre_scores_gemma":[0.9993463,0.0001466052,0.0001090948,0.0001100118,0.00002503192,0.00001714325,0.0001629397,7.652659e-7,0.00008210522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347332,"threshold_uncertainty_score":0.1943236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576517140967862,"score_gpt":0.2110252573962648,"score_spread":0.1952600859865862,"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."}}