{"id":"W2991193650","doi":"10.1002/aic.16874","title":"Fragmentation and film growth in supersonic nanoaggregate aerosol deposition","year":2019,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research","keywords":"Coating; Aerosol; Supersonic speed; Fragmentation (computing); Deposition (geology); Materials science; Nozzle; Chemical engineering; Chemistry; Chemical physics; Analytical Chemistry (journal); Nanotechnology; Organic chemistry","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":[0.0001084112,0.0001421028,0.0001614763,0.0001656736,0.0002004803,0.0002446085,0.0002080233,0.0002246397,0.0009230399],"category_scores_gemma":[0.0001854415,0.0001378582,0.0001739852,0.0001186669,0.0002108828,0.0002343936,0.000212289,0.0002929539,0.0001306017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004886849,"about_ca_system_score_gemma":0.0001659601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726594,"about_ca_topic_score_gemma":0.002269001,"domain_scores_codex":[0.9998871,0.000005587036,0.000004672281,0.00001942029,0.00004950191,0.00003371172],"domain_scores_gemma":[0.9998858,0.00003731258,0.00002938705,0.000009194469,0.00002208379,0.0000162096],"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":[0.00003240929,0.00001309053,0.0007986898,0.00001921085,0.000006114642,0.00006210676,0.00004357651,0.0006100271,0.9972253,0.00009524458,0.00002707704,0.001067206],"study_design_scores_gemma":[0.000009257822,0.0001534667,0.01389987,0.000004285726,0.00000707236,0.00008893882,0.00004760802,0.01076713,0.9744964,0.0000606642,0.0004593741,0.000005954871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987356,0.0001472046,0.0005825522,0.000009021819,0.000003385074,0.000004364236,0.00002845321,0.00001392198,0.0004755689],"genre_scores_gemma":[0.99911,0.00008745912,0.0004345383,0.000008373929,0.000001864137,0.000003649691,0.00005298667,0.000004816426,0.0002961535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002726594,"threshold_uncertainty_score":0.00542146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004073816510983171,"score_gpt":0.1941266151252546,"score_spread":0.1900527986142714,"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."}}