{"id":"W4388592586","doi":"10.1016/j.carbon.2023.118605","title":"Controlling carbon nanostructure synthesis in thermal plasma jet: Correlation of process parameters, plasma characteristics, and product morphology","year":2023,"lang":"en","type":"article","venue":"Carbon","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Université de Sherbrooke","keywords":"Nanostructure; Materials science; Carbon fibers; Plasma; Chemical engineering; Nanotechnology; Graphene; Chemical physics; Chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006339017,0.0002131227,0.0005038922,0.0002487423,0.00004209327,0.00005365516,0.0002023329,0.0001576491,0.00003017424],"category_scores_gemma":[0.0007260888,0.0001832701,0.00003474378,0.000302416,0.0002049322,0.00007491901,0.00006926647,0.0001478163,0.000006221202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003907552,"about_ca_system_score_gemma":0.0001008719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941988,"about_ca_topic_score_gemma":0.00002468478,"domain_scores_codex":[0.9981248,0.0002111956,0.0004314714,0.0004703976,0.0003080307,0.0004540978],"domain_scores_gemma":[0.9990365,0.0003344138,0.0001984963,0.000259204,0.0000925967,0.00007880677],"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":[0.0003662631,0.00002638389,0.02946621,0.0002107463,0.000009413624,0.00004589648,0.0004237602,0.0006203877,0.9672353,0.00001985653,0.000003628512,0.001572128],"study_design_scores_gemma":[0.0006670834,0.00009066341,0.03054907,0.000130592,0.00002784081,0.000009581605,0.0001494435,0.01943474,0.948606,0.0001175495,0.000005410418,0.0002120879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982972,0.0000691328,4.866396e-7,0.0001124475,0.0006721754,0.000415328,0.00006822923,0.00007826057,0.0002867795],"genre_scores_gemma":[0.9996392,0.00002974465,0.00003921467,0.00001164441,0.0000960575,0.00009968081,0.0000219047,0.00003273473,0.00002989294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881435,"threshold_uncertainty_score":0.7473539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304656800279189,"score_gpt":0.2445270118396727,"score_spread":0.2314804438368808,"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."}}