{"id":"W2531848160","doi":"","title":"A study of temporal variability of atmospheric total gaseous mercury in Windsor, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Earth Science & Climatic Change","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Windsor; Mercury (programming language); Environmental science; Environmental chemistry; Atmospheric sciences; Geology; Chemistry; Soil science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002071311,0.0001569025,0.0004589857,0.00001209598,0.00007140139,0.00001116619,0.0004793231,0.00003722224,0.0007436826],"category_scores_gemma":[0.0001344175,0.0001275906,0.00006524767,0.0006203087,0.0005291288,0.0004293889,0.0002265998,0.0002141541,0.000002184731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005014083,"about_ca_system_score_gemma":0.0002216519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6510166,"about_ca_topic_score_gemma":0.7674422,"domain_scores_codex":[0.9972821,0.0001093316,0.000841619,0.0002356751,0.001189048,0.0003422632],"domain_scores_gemma":[0.9986382,0.00009745701,0.0007487957,0.0003117141,0.00002200634,0.0001818277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002837468,0.000602567,0.976007,0.00001503056,0.000005751736,0.00001569235,0.004381826,0.01660779,0.0005110366,0.000004173114,0.000005977761,0.001814728],"study_design_scores_gemma":[0.0006129754,0.0009577755,0.9832892,0.00004113823,0.00002181102,0.00004645246,0.002341578,0.0124279,0.00003189594,0.00006746752,0.00004133489,0.0001204429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985681,0.000008998051,0.0002857259,0.00003954853,0.0002064571,0.0002767269,0.000001170061,0.000001902472,0.0006113821],"genre_scores_gemma":[0.9908527,0.000003973975,0.009002769,0.0000544815,0.00001998466,0.000003556053,2.109136e-7,0.000007150996,0.00005519433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164256,"threshold_uncertainty_score":0.8142803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269624727759912,"score_gpt":0.2150557326109503,"score_spread":0.2023594853333511,"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."}}