{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005989375,0.0001091671,0.0001302169,0.00003514631,0.0003990513,0.0002378277,0.0001399181,0.00003864868,0.00001272068],"category_scores_gemma":[0.00001749057,0.00009864305,0.00001063103,0.0001342674,0.0009543204,0.000197714,0.0001147731,0.00004967829,0.00001318379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752616,"about_ca_system_score_gemma":0.00004479944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008719912,"about_ca_topic_score_gemma":4.544175e-7,"domain_scores_codex":[0.9988908,0.00001157549,0.000164494,0.0004393094,0.0002678747,0.0002259737],"domain_scores_gemma":[0.9994168,0.0001044978,0.00007227889,0.0001849139,0.00004784486,0.0001736644],"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":[0.00001613501,0.00001798545,0.0002392416,0.000002739479,6.379972e-7,8.308653e-8,0.001562436,0.0004083177,0.9769291,0.01909827,0.00002746099,0.001697597],"study_design_scores_gemma":[0.0005314582,0.00005430597,0.0009719737,0.000008479335,0.00001160146,0.000007449652,0.0005214296,0.2798876,0.692683,0.02500509,0.0001106134,0.0002070322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7228051,0.00008113867,0.2761837,0.0001479567,0.00005751145,0.000289492,0.0000135764,0.00004287421,0.0003787156],"genre_scores_gemma":[0.981583,0.000001416518,0.01828071,0.00003186135,0.00003351895,0.00003234794,0.000009688461,0.000008792425,0.00001866204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2842461,"threshold_uncertainty_score":0.4022547,"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."}}