{"id":"W2080826342","doi":"10.1016/j.carbon.2013.01.071","title":"Degradation of carbon nanotubes in oxygen glow discharges","year":2013,"lang":"en","type":"article","venue":"Carbon","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Absorption spectroscopy; Oxygen; Carbon nanotube; Analytical Chemistry (journal); Decomposition; Chemistry; Spectroscopy; Carbon fibers; Photochemistry; Materials science; Nanotechnology; Composite number; Organic chemistry","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":[0.000247113,0.0001692164,0.0002951957,0.0001676595,0.00002008677,0.00004453611,0.0003123549,0.00009943725,0.0001388281],"category_scores_gemma":[0.0001216087,0.0001541838,0.00005451876,0.0002909832,0.000107374,0.0001573467,0.00011997,0.00008827609,0.00002403802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009259598,"about_ca_system_score_gemma":0.00004580795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458272,"about_ca_topic_score_gemma":0.0001565618,"domain_scores_codex":[0.9985602,0.00009496308,0.0004075274,0.0003247258,0.0003075353,0.0003050693],"domain_scores_gemma":[0.9991737,0.0001261931,0.0001219081,0.0004250362,0.00009167822,0.00006145822],"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":[0.00001161913,0.00004587892,0.02677156,0.00003219652,0.000003269089,0.00000203621,0.0001944931,0.00003901406,0.9720783,0.0003376704,0.00003900481,0.0004449083],"study_design_scores_gemma":[0.0003356474,0.00006115699,0.02444619,0.00007667561,0.00001136107,0.000003624065,0.00008061554,0.003074645,0.9707267,0.0009142031,0.00006526701,0.0002038882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921033,0.0005596356,0.000004727521,0.000245099,0.0006280303,0.0003363975,0.000005626368,0.00006605608,0.006051088],"genre_scores_gemma":[0.9988505,0.00002298551,0.0006410312,0.00003387276,0.00008395657,0.00006630021,0.000006664824,0.00002222626,0.0002724986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006747125,"threshold_uncertainty_score":0.6287431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076910169827237,"score_gpt":0.2292307335043977,"score_spread":0.2184616318061253,"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."}}