{"id":"W2955254893","doi":"10.1080/10426507.2019.1603234","title":"Carbon nanotube alignment and sorting: Attempting a sulfur moiety as anchoring component","year":2019,"lang":"en","type":"article","venue":"Phosphorus, sulfur, and silicon and the related elements","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anchoring; Moiety; Component (thermodynamics); Carbon nanotube; Sorting; Sulfur; Nanotube; Nanotechnology; Materials science; Chemistry; Computer science; Stereochemistry; Engineering; Physics; Organic chemistry; Structural engineering; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156599,0.0004088766,0.0002364564,0.0002880421,0.000274151,0.0003082352,0.0002614567,0.0005632263,0.000936924],"category_scores_gemma":[0.0002558466,0.000137999,0.0001876753,0.0002399118,0.0002211027,0.0003838921,0.0001993534,0.000357338,0.0004854642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00022365,"about_ca_system_score_gemma":0.000255265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003895177,"about_ca_topic_score_gemma":0.001296103,"domain_scores_codex":[0.999809,0.00002775479,0.00001656943,0.00004308654,0.00005127018,0.00005242669],"domain_scores_gemma":[0.9998885,0.00002597744,0.0000291726,0.00001538341,0.00002574598,0.00001519046],"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":[0.00003591076,0.00001612138,0.00008791281,0.00003535645,0.000002778044,0.00004488875,0.0000212541,0.00009520838,0.9965279,0.0003389294,0.00003220439,0.002761699],"study_design_scores_gemma":[0.000002143473,0.0001007634,0.000162561,0.000001281526,0.000002664181,0.00004663846,0.000009758264,0.0004496347,0.9983901,0.00002668091,0.000805131,0.000002671463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689511,0.0007017953,0.02331716,0.0002288223,0.00007540154,0.0001196463,0.000112376,0.0002081804,0.006285515],"genre_scores_gemma":[0.9576514,0.000534325,0.03718256,0.0001119648,0.00001724197,0.00004503745,0.0001600748,0.00003235405,0.004265055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000936924,"threshold_uncertainty_score":0.00313431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007020690606304225,"score_gpt":0.2257839437534777,"score_spread":0.2187632531471734,"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."}}