{"id":"W1880428348","doi":"10.1002/pola.27715","title":"The effect of molecular weight on the separation of semiconducting single‐walled carbon nanotubes using poly(2,7‐carbazole)s","year":2015,"lang":"en","type":"article","venue":"Journal of Polymer Science Part A Polymer Chemistry","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon nanotube; Carbazole; Polymer; Materials science; Conjugated system; Chemical engineering; Polymer chemistry; Dispersion (optics); Carbon nanobud; Carbon fibers; Nanotube; Nanotechnology; Optical properties of carbon nanotubes; Chemistry; Organic 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":[0.003319751,0.0003018584,0.0005257929,0.0001212705,0.0002684848,0.000154892,0.001455894,0.0001078361,0.00003082818],"category_scores_gemma":[0.000901306,0.0001741647,0.0002440554,0.0007307289,0.001525558,0.0003131927,0.0002661335,0.0003054661,0.000001601092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00019806,"about_ca_system_score_gemma":0.0006470544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007281525,"about_ca_topic_score_gemma":0.000001051337,"domain_scores_codex":[0.9960612,0.0002576578,0.001058338,0.0003311932,0.001771141,0.000520461],"domain_scores_gemma":[0.9963067,0.0009102329,0.001453519,0.000720151,0.0003876847,0.0002217572],"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":[0.0001846631,0.0000558195,0.0005325805,0.00002484126,0.00003059241,0.000008408507,0.0003630398,0.00006000018,0.9983886,0.00003655707,0.00003068973,0.0002842106],"study_design_scores_gemma":[0.00053727,0.0003108129,0.000003612844,0.0002319272,0.0001019947,0.0001874107,0.0002683141,0.0008239956,0.9973086,0.00002115087,0.00002681254,0.0001781466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836839,0.01269759,0.00001887207,0.0004097732,0.001242252,0.0001197564,0.000005381706,0.00001274648,0.001809682],"genre_scores_gemma":[0.9994226,0.00001130249,0.00004934716,0.00004382644,0.000321895,0.000004144425,3.630712e-7,0.00002200538,0.0001245541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01573861,"threshold_uncertainty_score":0.7102229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983199933622691,"score_gpt":0.278917415809621,"score_spread":0.2590854164733941,"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."}}