{"id":"W3028097047","doi":"","title":"An approach to investigate new particle formation in the vertical direction on the basis of high time-resolution measurements at ground level and sea level","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Standard deviation; Particle (ecology); Basis (linear algebra); Ground level; Environmental science; Geodesy; Geology; Mathematics; Statistics; Geometry; Engineering; Oceanography; Ground floor","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":[0.001028172,0.0000920195,0.00009047754,0.00000478309,0.0001284039,0.00005212787,0.0001300644,0.00004822551,0.000004148059],"category_scores_gemma":[0.0003459203,0.00005739557,0.00001479814,0.0001427592,0.00004837998,0.0002149571,0.000009516022,0.0000932478,0.00003116393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000017984,"about_ca_system_score_gemma":0.00002637031,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592649,"about_ca_topic_score_gemma":0.005313016,"domain_scores_codex":[0.998978,0.0001252591,0.0002100489,0.0001580238,0.0003443593,0.0001843082],"domain_scores_gemma":[0.9994646,0.0001497454,0.00006191974,0.0001415803,0.00003055357,0.0001515435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000547016,0.0003146363,0.6301045,0.00007327058,0.00003846527,0.000005416404,0.009853682,0.3077579,0.03348817,0.00006898353,0.004081371,0.01366656],"study_design_scores_gemma":[0.0002951772,0.0001030777,0.9490128,0.00004188906,0.00001307331,0.000009341426,0.0004192551,0.02249992,0.02728527,0.000173944,0.00004624511,0.0001000275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952959,0.00002716914,0.00005482894,0.0006878256,0.0000343212,0.0001551612,0.000009579005,0.00001393902,0.00372123],"genre_scores_gemma":[0.9986425,0.000001559862,0.0009605524,0.0002476865,0.00005132739,0.000002248898,0.00003587227,0.000002391452,0.00005584325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3189082,"threshold_uncertainty_score":0.9805599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317897913512819,"score_gpt":0.244468844720965,"score_spread":0.1126790533696831,"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."}}