{"id":"W1963784569","doi":"10.1002/polb.21092","title":"Influences of organometallic polymer‐derived catalyst dispersion on SWNT growth","year":2007,"lang":"en","type":"article","venue":"Journal of Polymer Science Part B Polymer Physics","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Catalysis; Ferrocene; Materials science; Copolymer; Chemical vapor deposition; Polystyrene; Polymer; Dispersion (optics); Carbon nanotube; Chemical engineering; Polymer chemistry; Silicon; Nanotechnology; Chemistry; Composite material; Organic chemistry; Physical chemistry; Metallurgy; Electrochemistry; Electrode","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"],"consensus_categories":[],"category_scores_codex":[0.00197011,0.0004213013,0.0007644758,0.0006476674,0.0004047573,0.0001870483,0.001968708,0.0001020454,0.0002067231],"category_scores_gemma":[0.0001522929,0.0003335981,0.0003635518,0.002326869,0.002311072,0.001482975,0.0003681607,0.0003428925,0.00007565408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818763,"about_ca_system_score_gemma":0.0006671443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300276,"about_ca_topic_score_gemma":0.000007346504,"domain_scores_codex":[0.9945865,0.0001041316,0.001386515,0.0005641512,0.002424282,0.0009344366],"domain_scores_gemma":[0.9962876,0.000411051,0.001522408,0.0007176241,0.000548098,0.0005131926],"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":[0.0001588125,0.0003476578,0.002020565,0.00002052904,0.00003162219,0.00002276965,0.0008502355,0.00001145674,0.9917578,0.002508259,0.00005828135,0.002211982],"study_design_scores_gemma":[0.0005201169,0.00047917,0.001206988,0.0001612193,0.00009461756,0.00008162222,0.0002813909,0.00002843606,0.9965898,0.0001718116,0.00001798395,0.0003668192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908932,0.004941428,0.0005495225,0.0003381293,0.002285037,0.0001153388,0.00002381064,0.00003241864,0.0008211227],"genre_scores_gemma":[0.9985546,0.00005883297,0.00009822105,0.0003375527,0.0007504498,0.000001884024,0.000001761001,0.00003472286,0.0001620131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00766137,"threshold_uncertainty_score":0.9999116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394729409308173,"score_gpt":0.2649408516051815,"score_spread":0.2509935575120998,"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."}}