{"id":"W4221042328","doi":"10.1002/aelm.202101377","title":"Comprehensive Study on High Purity Semiconducting Carbon Nanotube Extraction","year":2022,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinova (Canada); National Research Council Canada","funders":"Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Carbon nanotube; Materials science; Very-large-scale integration; Nanotechnology; Transistor; Voltage; Electrical engineering; Computer science; Embedded system","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006156442,0.0003750157,0.0005790816,0.0001608711,0.0005887536,0.0001194092,0.0005423318,0.00005966594,0.001652431],"category_scores_gemma":[0.00007186847,0.0004026154,0.00006441824,0.0003149259,0.00005906944,0.0002458491,0.0004194466,0.0003933932,0.00004975854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009775126,"about_ca_system_score_gemma":0.0001454021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004583629,"about_ca_topic_score_gemma":0.00001831329,"domain_scores_codex":[0.9960644,0.0007639185,0.0006429927,0.0008996973,0.0006993563,0.0009296286],"domain_scores_gemma":[0.99836,0.0003052017,0.0003917361,0.0007802389,0.00009130532,0.00007156151],"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":[0.0004384918,0.0004729504,0.00004771824,0.00001875327,0.00002449999,0.00002698654,0.000323118,0.002213579,0.9951441,0.001010895,0.00002683801,0.0002520949],"study_design_scores_gemma":[0.001197217,0.001616864,0.0004093363,0.00001435009,0.00003476315,0.00008011219,0.0008431209,0.00001273689,0.9917626,0.00169281,0.001908979,0.0004270897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948543,0.0002462534,0.000008734443,0.0001140081,0.002912006,0.001185235,0.00006412088,0.000377177,0.0002382202],"genre_scores_gemma":[0.9985642,0.00001424026,0.0001265431,0.0001929386,0.0002408021,0.0005699265,0.00003693853,0.00007001307,0.0001843554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003709997,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360169981224907,"score_gpt":0.2820497598375654,"score_spread":0.2684480600253163,"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."}}