{"id":"W4401101560","doi":"10.15372/aoo20240609","title":"Ртуть в атмосферном воздухе и осадках в 2022–2023 гг. на станции мониторинга Листвянка (Южное Прибайкалье)","year":2024,"lang":"ru","type":"article","venue":"Optika atmosfery i okeana","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003064541,0.000642271,0.0003235756,0.001990533,0.002682445,0.006731309,0.0008893454,0.001669658,0.02546563],"category_scores_gemma":[0.004830666,0.0003520988,0.0005752627,0.002397152,0.001726452,0.003581058,0.002539174,0.002316528,0.0108192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006036291,"about_ca_system_score_gemma":0.01534536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04618507,"about_ca_topic_score_gemma":0.06510262,"domain_scores_codex":[0.9966971,0.0006021478,0.0001590519,0.0004190068,0.001580267,0.0005424539],"domain_scores_gemma":[0.996994,0.0003056439,0.0002986206,0.0001889324,0.001710284,0.0005024613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003020639,0.0001486634,0.02452857,0.001256799,0.00009104197,0.0007040316,0.007787485,0.001971905,0.004212792,0.4821091,0.1494902,0.3273974],"study_design_scores_gemma":[0.0000123171,0.00004018993,0.0159363,0.0003982034,0.00002572356,0.0001851962,0.003360942,0.0003606498,0.001082313,0.01871564,0.9598332,0.00004925695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04892392,0.0152781,0.01825803,0.03378499,0.00324298,0.0003253139,0.007597995,0.0005946889,0.8719938],"genre_scores_gemma":[0.5911469,0.02217714,0.03572332,0.005916516,0.0008675425,0.0008463294,0.009539087,0.0006691854,0.333114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04618507,"threshold_uncertainty_score":0.09183252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884252868439189,"score_gpt":0.272188916058034,"score_spread":0.2533463873736421,"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."}}