{"id":"W4288063097","doi":"10.2139/ssrn.4172911","title":"Rationalizing Nitrogen-Doped Secondary Carbon Particles for Practical Lithium-Sulfur Batteries","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Lithium (medication); Sulfur; Carbon fibers; Nitrogen; Doping; Materials science; Chemistry; Inorganic chemistry; Nanotechnology; Organic chemistry; Optoelectronics; Composite material; Composite number; Psychology","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":[0.0001511337,0.0003116671,0.0002018088,0.0001972008,0.0002424993,0.000489809,0.0003088771,0.0004805392,0.001096815],"category_scores_gemma":[0.0002197419,0.0001341899,0.0002489933,0.0001271383,0.0002565198,0.0003088144,0.0002622331,0.0003775038,0.0004008745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396964,"about_ca_system_score_gemma":0.00032461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008384183,"about_ca_topic_score_gemma":0.003931252,"domain_scores_codex":[0.9999163,0.000006010332,0.000005712527,0.00001606227,0.00003830371,0.0000175931],"domain_scores_gemma":[0.999946,0.00001178601,0.000007626061,0.000006244263,0.00001730437,0.00001102523],"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":[0.0001500336,0.000164532,0.0004150774,0.0003486932,0.00001930253,0.0002704793,0.00005606164,0.007715078,0.9716432,0.005953611,0.0006145344,0.01264936],"study_design_scores_gemma":[0.00004276657,0.0004835235,0.0005788989,0.00001889286,0.00001334031,0.0001039449,0.00004498698,0.02215057,0.9684734,0.0007058069,0.007369562,0.00001427387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651517,0.001518368,0.01634813,0.0003293716,0.0002465677,0.0002018928,0.0002164111,0.0001995084,0.01578812],"genre_scores_gemma":[0.9900501,0.0004771267,0.00721498,0.00003607692,0.0000127195,0.00004587959,0.0001405672,0.00003054451,0.00199199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096815,"threshold_uncertainty_score":0.003915727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124163555335139,"score_gpt":0.2412002749054994,"score_spread":0.2287839193719856,"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."}}