{"id":"W2597567664","doi":"10.1149/2.0611706jes","title":"Carbon Nanotubes Chemically Modified by Metal Phthalocyanines with Excellent Electrocatalytic Activity to Li/SOCl<sub>2</sub>Battery","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Natural Science Foundation of China","keywords":"Carbon nanotube; Catalysis; Electrochemistry; Cyclic voltammetry; X-ray photoelectron spectroscopy; Battery (electricity); Thionyl chloride; Metal; Lithium (medication); Materials science; Inorganic chemistry; Chemistry; Chemical engineering; Electrode; Chloride; Nanotechnology; Organic chemistry; Physical chemistry; Metallurgy","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":[0.00008043893,0.0004035744,0.0001485917,0.0001433212,0.0001064386,0.0001543762,0.0002268653,0.000280363,0.0007304118],"category_scores_gemma":[0.0001896496,0.0001509507,0.0001703771,0.0001695588,0.0002034448,0.0002537518,0.000181614,0.0002673694,0.0002714529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848505,"about_ca_system_score_gemma":0.0001156295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002749536,"about_ca_topic_score_gemma":0.0006218445,"domain_scores_codex":[0.9999084,0.00001104024,0.0000074236,0.00002132475,0.00003314707,0.00001867999],"domain_scores_gemma":[0.9999241,0.000009037639,0.00002277488,0.000008566757,0.00002100615,0.0000145293],"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":[0.00004972707,0.0000119896,0.0001537062,0.0000673586,0.000006004213,0.00006182275,0.00001070457,0.0002446161,0.9964446,0.0001096156,0.00008330791,0.002756496],"study_design_scores_gemma":[0.000005884581,0.00007851692,0.001058568,0.000002020319,0.000009824144,0.00008853264,0.000005363053,0.001018915,0.9962304,0.00002190563,0.001476445,0.000003525639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920643,0.001313727,0.00412534,0.0001223205,0.00007641851,0.0000307645,0.0001187721,0.0001621328,0.001986177],"genre_scores_gemma":[0.9937774,0.0004992141,0.00355976,0.00007210409,0.00002525195,0.00002949851,0.0001357135,0.00003019263,0.001870915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007304118,"threshold_uncertainty_score":0.002443492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007812672785065972,"score_gpt":0.218769485642421,"score_spread":0.2109568128573551,"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."}}