{"id":"W3023065079","doi":"10.1039/d0cy00564a","title":"Interfacial effect of Co<sub>4</sub>S<sub>3</sub>–Co<sub>9</sub>S<sub>8</sub> nanoparticles hosted on rGO sheets derived from molecular precursor pyrolysis on enhancing electrochemical behaviour","year":2020,"lang":"en","type":"article","venue":"Catalysis Science & Technology","topic":"Advanced battery technologies research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre in Green Chemistry and Catalysis","funders":"National Natural Science Foundation of China","keywords":"Pyrolysis; Catalysis; Nanoparticle; Graphene; Oxide; Electrochemistry; Materials science; Chemical engineering; Nanotechnology; Fuel cells; Inorganic chemistry; Chemistry; Physical chemistry; Organic chemistry; Electrode; 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":[0.00004981757,0.0002698368,0.000125109,0.0001369546,0.00008464412,0.0001711559,0.0001573863,0.0002234728,0.001229625],"category_scores_gemma":[0.0001175466,0.0001286883,0.0001535217,0.00007735701,0.0001456187,0.0001672371,0.0001146354,0.0002408605,0.0001949439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295938,"about_ca_system_score_gemma":0.00007203336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004054657,"about_ca_topic_score_gemma":0.00127084,"domain_scores_codex":[0.9999495,0.000004077363,0.000002833463,0.00001418362,0.00001653338,0.00001288073],"domain_scores_gemma":[0.999952,0.000009610743,0.00001351049,0.00000395109,0.00001333288,0.000007700144],"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":[0.00006461472,0.000007370585,0.0001030771,0.00004072212,0.000004164047,0.00003245913,0.00000991674,0.00006658575,0.9985398,0.00005065214,0.00002347282,0.001057141],"study_design_scores_gemma":[0.000002531719,0.00004835803,0.0008837309,0.000001871732,0.00000911754,0.00002994111,0.00001126359,0.0004603018,0.9982067,0.00001069312,0.0003338667,0.000001602627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955596,0.0005886598,0.001444681,0.00003527856,0.00002193948,0.00001090127,0.00006586015,0.00005794511,0.002215107],"genre_scores_gemma":[0.9977002,0.0002293571,0.0009909121,0.00002006479,0.000003922226,0.000006708939,0.00004484032,0.00001064314,0.0009933981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001229625,"threshold_uncertainty_score":0.004113495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007714370778569555,"score_gpt":0.2458258898004437,"score_spread":0.2381115190218741,"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."}}