{"id":"W2902612615","doi":"10.1080/02786826.2018.1555368","title":"Multiple scattering correction factor estimation for aethalometer aerosol absorption coefficient measurement","year":2018,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aethalometer; Aerosol; Analytical Chemistry (journal); Wavelength; Chemistry; Attenuation coefficient; Linear regression; Absorption (acoustics); Soot; Single-scattering albedo; Optics; Physics; Statistics; Mathematics; Chromatography","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":[0.001999403,0.001322437,0.0005219472,0.002071913,0.000799749,0.000894793,0.001418977,0.0008338406,0.002578028],"category_scores_gemma":[0.005244829,0.0005221741,0.001080184,0.001745748,0.0002590871,0.001134709,0.00083418,0.001017715,0.001336935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270767,"about_ca_system_score_gemma":0.001021282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237218,"about_ca_topic_score_gemma":0.01660922,"domain_scores_codex":[0.9981061,0.0002108493,0.0001016761,0.000571378,0.000888574,0.0001213848],"domain_scores_gemma":[0.9975752,0.0004374645,0.00036099,0.0003960871,0.001179671,0.00005045595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000421636,0.0003604042,0.1791921,0.0005763682,0.0004392184,0.0002702909,0.0005279458,0.02932873,0.4147882,0.003069445,0.008991912,0.3620338],"study_design_scores_gemma":[0.00006719734,0.0003006488,0.1850753,0.00009976936,0.0002100104,0.0004073978,0.0002329995,0.315228,0.4600261,0.00277038,0.03532907,0.0002531743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2546514,0.0009213854,0.7296497,0.0001884299,0.0002635102,0.0004658114,0.002588966,0.004342407,0.006928419],"genre_scores_gemma":[0.4670562,0.0004681259,0.5241557,0.0001535844,0.00005006801,0.0006098151,0.002654777,0.0008918828,0.003959847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01237218,"threshold_uncertainty_score":0.02460033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387387166145993,"score_gpt":0.236608159042616,"score_spread":0.212734287381156,"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."}}