{"id":"W2231942804","doi":"10.5539/mas.v9n13p133","title":"Correlation between Theoretical and Experimental Specific Surface Area Estimation for PANI and PANI (Zr) Composite","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Helmholtz-Zentrum Berlin für Materialien und Energie; Southern Federal University","keywords":"Polyaniline; Zirconium; Materials science; Composite number; Dopant; Polymerization; Specific surface area; Fiber; Polyaniline nanofibers; Chemical engineering; Analytical Chemistry (journal); Polymer chemistry; Composite material; Chemistry; Polymer; Doping; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003322899,0.0003501686,0.0002028242,0.000563312,0.0000854276,0.000154984,0.0002995141,0.0003296545,0.001863136],"category_scores_gemma":[0.0007394105,0.0001772738,0.0002221341,0.0003353984,0.0001528979,0.0002917025,0.0001217521,0.000214101,0.0007834709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331803,"about_ca_system_score_gemma":0.00008839829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006031814,"about_ca_topic_score_gemma":0.001195692,"domain_scores_codex":[0.9996355,0.00003521789,0.00001636907,0.00009542608,0.0001864411,0.00003102123],"domain_scores_gemma":[0.9995798,0.0001835387,0.00006087502,0.00004363102,0.0001208893,0.00001109514],"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":[0.0001964092,0.00004159155,0.008086481,0.0001257812,0.00003000473,0.00006574958,0.00004450388,0.003903634,0.9648476,0.000180292,0.0003189052,0.02215905],"study_design_scores_gemma":[0.000003846645,0.0002023859,0.02631756,0.000005405259,0.00002420822,0.0001937834,0.00003767433,0.0143683,0.9569063,0.0001022422,0.001820654,0.00001760032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641757,0.001709698,0.02605681,0.00005113738,0.00003382181,0.00002960765,0.0007425266,0.0008603557,0.006340373],"genre_scores_gemma":[0.9894163,0.0004134347,0.007527709,0.000016591,0.000004956984,0.00002955106,0.0008536425,0.00003363174,0.00170415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001863136,"threshold_uncertainty_score":0.006232738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04545683368524896,"score_gpt":0.2905309418635593,"score_spread":0.2450741081783104,"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."}}