{"id":"W2012276559","doi":"10.3390/atmos2040671","title":"Desorption of Herbicides from Atmospheric Particulates During High-Volume Air Sampling","year":2011,"lang":"en","type":"article","venue":"Atmosphere","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"","keywords":"Trifluralin; Chemistry; Mecoprop; Particulates; Environmental chemistry; Dicamba; Dimethylamine; MCPA; Chromatography; Desorption; Bromoxynil; Vapours; Volume (thermodynamics); Pesticide; Adsorption; Organic chemistry; Agronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007933348,0.0002386019,0.0002971166,8.82823e-7,0.0001788306,0.000008531414,0.0002285919,0.00009263343,0.02208622],"category_scores_gemma":[0.00002261886,0.0002208704,0.00009888768,0.0001701572,0.0002962773,0.0002819468,0.0003057141,0.0001137024,0.00093352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479077,"about_ca_system_score_gemma":0.000003753092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01634257,"about_ca_topic_score_gemma":0.0007161511,"domain_scores_codex":[0.9985268,0.00004054275,0.0003722462,0.0004063157,0.0002759954,0.0003780701],"domain_scores_gemma":[0.99935,0.00004323614,0.0001705703,0.0003214741,0.000005684465,0.0001091127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005021886,0.0001289994,0.9478745,0.00001130593,0.00005695635,0.00001272881,0.0008776789,0.005211711,0.04366754,0.00003149524,0.0001056502,0.001971229],"study_design_scores_gemma":[0.0003183857,0.0000814693,0.9701009,0.00003801558,0.00006154775,0.000002937207,0.0004242568,0.0004086097,0.02600168,0.00209225,0.0002161934,0.0002537834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961009,0.0005606627,0.000637769,0.00003084598,0.00009577494,0.0001560613,0.000007322096,0.00007880726,0.002331869],"genre_scores_gemma":[0.968246,0.00006900448,0.03111975,0.00007280128,0.00004394575,0.00002432434,0.000007222347,0.00003155973,0.0003853546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03048198,"threshold_uncertainty_score":0.9998444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675364528823518,"score_gpt":0.1968268859898975,"score_spread":0.1800732407016624,"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."}}