{"id":"W3102311455","doi":"10.1039/d0dt03313h","title":"Cobalt–manganese-zinc ternary phosphate for high performance supercapattery devices","year":2020,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital; Simon Fraser University","funders":"Higher Education Commision, Pakistan","keywords":"Ternary operation; Materials science; Cobalt; Zinc; Nanomaterials; Electrode; Electrochemistry; Scanning electron microscope; Manganese; Capacitance; Chemical engineering; Supercapacitor; Metal; Nanotechnology; Analytical Chemistry (journal); Chemistry; Metallurgy; Composite material; Physical chemistry; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001642575,0.0001940992,0.0002425459,0.00004306425,0.0003522175,0.0001231762,0.0002814152,0.00008811377,0.001754615],"category_scores_gemma":[0.00001053754,0.0001816402,0.00007584394,0.0001548252,0.00007838081,0.0006459748,0.000007665179,0.00008569976,0.0004347827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000398529,"about_ca_system_score_gemma":0.00004134398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001707738,"about_ca_topic_score_gemma":0.0000162827,"domain_scores_codex":[0.9986781,0.0000451483,0.0003437388,0.0004034362,0.0002016383,0.0003279576],"domain_scores_gemma":[0.9993975,0.00007082294,0.00006620378,0.0002254423,0.0000870701,0.000152992],"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":[0.0001499963,0.00007696288,0.0006100945,0.0002511159,0.0000156754,0.000002021302,0.001121416,0.0002926666,0.9942492,0.0001256011,0.0004567423,0.002648544],"study_design_scores_gemma":[0.0007626646,0.0003043466,0.00857223,0.00003789847,0.00008143326,0.00001502051,0.0003540402,0.002878552,0.9755474,0.00005884549,0.01099964,0.0003878855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559982,0.0001020693,0.03956297,0.001958738,0.001220474,0.0004015878,0.0004182424,0.0002462756,0.00009144955],"genre_scores_gemma":[0.9955395,0.00008047505,0.002268883,0.001308257,0.0004127767,0.0001923253,0.00008289025,0.00003536552,0.00007947302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03954137,"threshold_uncertainty_score":0.9991579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547441493364749,"score_gpt":0.236153094597849,"score_spread":0.2106786796642015,"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."}}