{"id":"W2152548248","doi":"10.5194/bg-5-1073-2008","title":"Microbiology and atmospheric processes: chemical interactions of primary biological aerosols","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Social Fund; Institut National de la Recherche Agronomique; European Science Foundation","keywords":"Aerosol; Atmosphere (unit); Environmental chemistry; Particulates; Environmental science; Atmospheric chemistry; Primary (astronomy); Chemistry; Snow; Chemical composition; Atmospheric sciences; Meteorology; Ozone; Organic chemistry; Physics","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":[0.0002183445,0.000428997,0.0003372641,0.000327848,0.0003979309,0.0009463387,0.0002518643,0.0008151628,0.001984214],"category_scores_gemma":[0.0002617265,0.0001303934,0.0003592851,0.0002766027,0.0002882011,0.0003977639,0.0004984221,0.0002965601,0.0004413947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939595,"about_ca_system_score_gemma":0.0004948966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870341,"about_ca_topic_score_gemma":0.001715488,"domain_scores_codex":[0.9997835,0.00005537738,0.000007268602,0.00004308782,0.00007265203,0.00003817799],"domain_scores_gemma":[0.9998413,0.0000529741,0.00003849305,0.000006999677,0.00003277307,0.00002741094],"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":[0.0002468436,0.0003661517,0.05716468,0.002974458,0.0002686529,0.001420592,0.0003186591,0.009333551,0.8032861,0.01553359,0.002220569,0.1068661],"study_design_scores_gemma":[0.00006011021,0.001997497,0.2909634,0.0003692393,0.0004126077,0.003219187,0.0009077856,0.04400988,0.4804458,0.0321529,0.145343,0.0001186086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958991,0.1425431,0.02144798,0.003453106,0.001044256,0.0001006077,0.0004156058,0.0001358623,0.03496035],"genre_scores_gemma":[0.9730412,0.01798681,0.003180304,0.0002472269,0.0004102016,0.0000152903,0.00009187193,0.00001592298,0.005011295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001984214,"threshold_uncertainty_score":0.006637812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432697741636346,"score_gpt":0.2140521797602657,"score_spread":0.1897252023439022,"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."}}