{"id":"W2061151608","doi":"10.1016/j.electacta.2014.06.089","title":"Cost-effective and Scalable Chemical Synthesis of Conductive Cellulose Nanocrystals for High-performance Supercapacitors","year":2014,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":false,"ca_institutions":"CelluForce (Canada); University of Waterloo","funders":"","keywords":"Polypyrrole; Materials science; Chemical engineering; Supercapacitor; Polymerization; Electrochemistry; Monomer; Nanocrystal; Polymer; Nanotechnology; Composite material; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0005396506,0.0002188046,0.0004477033,0.00007605372,0.0001131222,0.00005374777,0.0002199343,0.0001364584,0.00009836508],"category_scores_gemma":[0.0004571173,0.0001911808,0.0000486336,0.0001324848,0.0002422748,0.000334332,0.00004647173,0.00007851001,0.00001282904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007718852,"about_ca_system_score_gemma":0.00003334006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002710974,"about_ca_topic_score_gemma":0.00000115208,"domain_scores_codex":[0.9985138,0.0001275754,0.0003261238,0.0004394039,0.0001835778,0.000409544],"domain_scores_gemma":[0.9987037,0.0006373574,0.0001379248,0.0002723979,0.0001576906,0.00009097411],"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":[0.0002157729,0.00006526606,0.00008943249,0.000109711,0.00001553026,4.020061e-8,0.0002200428,6.266916e-7,0.9970766,0.0008001113,0.0002277344,0.001179171],"study_design_scores_gemma":[0.0004017155,0.0002978562,0.0008644024,0.00004297196,0.00005141066,0.000007092429,0.00004720816,0.000260966,0.9968413,0.0005398729,0.0004190837,0.0002261676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976889,0.00002664064,0.0004958055,0.0001104752,0.0002967087,0.001083791,0.00005647695,0.0000607421,0.0001804523],"genre_scores_gemma":[0.9957123,0.00002583949,0.003220895,0.00004342747,0.0002008607,0.0007195338,0.00001604426,0.00003247127,0.00002859886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00272509,"threshold_uncertainty_score":0.7796125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180080626057278,"score_gpt":0.2238834569255058,"score_spread":0.212082650664933,"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."}}