{"id":"W2941033236","doi":"10.5194/amt-12-4339-2019","title":"Morphology and Raman spectra of aerodynamically classified soot samples","year":2019,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Soot; Particle size; Analytical Chemistry (journal); Raman spectroscopy; Combustor; Materials science; Combustion; Carbon fibers; Aerosol; Particle (ecology); Scanning electron microscope; Chemistry; Optics; Composite material; Chromatography; Physics; Organic chemistry","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":[0.000281953,0.0002378606,0.0003927308,0.00001565815,0.00002381745,0.000008724133,0.0002967116,0.0001881249,0.0001292725],"category_scores_gemma":[0.0002210074,0.0002242599,0.00006580893,0.000232994,0.0001189938,0.0000953493,0.0001257194,0.0002740907,0.000010744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440144,"about_ca_system_score_gemma":0.00002137382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002483661,"about_ca_topic_score_gemma":0.000002981841,"domain_scores_codex":[0.9985639,0.00002375273,0.0003888649,0.0003574268,0.0003644604,0.0003015719],"domain_scores_gemma":[0.9990885,0.00006251707,0.0001427629,0.0005111185,0.0001430536,0.00005203964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000254777,0.00005471312,0.002390631,0.00009556342,0.00004920882,0.000002668491,0.00002270008,0.0006554379,0.9576191,0.01531819,0.0001258119,0.0236405],"study_design_scores_gemma":[0.0007961772,0.0005053987,0.008525615,0.0002354967,0.00005899191,0.00002842428,0.0001620593,0.02022252,0.9560583,0.007756309,0.004888314,0.0007623587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4147731,0.0004111998,0.5779557,0.000247296,0.00008868606,0.0005692574,0.000003266282,0.002489608,0.003461893],"genre_scores_gemma":[0.7649559,0.00008459255,0.2347462,0.00003250045,0.00001384426,0.00004258805,0.000002620913,0.00003217134,0.00008948465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3501829,"threshold_uncertainty_score":0.9145054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190817940170408,"score_gpt":0.2301312840928862,"score_spread":0.2082231046911821,"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."}}