{"id":"W2514639337","doi":"10.1016/j.electacta.2016.08.118","title":"Threshold-like dependence of silicon-based electrode performance on active mass loading and nature of carbon conductive additive","year":2016,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Materials science; Carbon black; Carbon nanofiber; Silicon; Electrical conductor; Carbon fibers; Composite material; Electrochemistry; Current collector; Chemical engineering; Carbon nanotube; Chemistry; Optoelectronics; Composite number","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008496689,0.0002556561,0.0003548081,0.0001368415,0.00003288312,0.000006451198,0.0002041368,0.0001583142,0.00005454827],"category_scores_gemma":[0.00005311334,0.0002051884,0.00003044015,0.0001317438,0.0001127828,0.0002043547,0.00002407553,0.0002813777,0.000001604399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659591,"about_ca_system_score_gemma":0.00004291898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001102738,"about_ca_topic_score_gemma":0.00000203656,"domain_scores_codex":[0.9987829,0.00003250376,0.0002675671,0.0003031733,0.0002270219,0.0003868393],"domain_scores_gemma":[0.9992515,0.0002212075,0.0001450198,0.0002722083,0.00006951443,0.00004055303],"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":[0.0003331391,0.0000219692,0.0002456196,0.00005375026,0.00008965421,8.652995e-7,0.00007259123,0.00008310317,0.9982989,0.0001190814,0.00004393136,0.0006373987],"study_design_scores_gemma":[0.0005673038,0.00039645,0.001740852,0.0001750122,0.00002709283,0.000003347175,0.00001664829,0.0004877828,0.9960103,0.0003228476,0.00002993558,0.0002224365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981988,0.00007197263,0.0001473553,0.00005149491,0.0001639806,0.000258228,0.00007774488,0.00006878383,0.0009616429],"genre_scores_gemma":[0.9994071,0.000130906,0.0002390061,0.0000639991,0.00004375275,0.00003371829,0.000008650767,0.00004508413,0.00002778832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288606,"threshold_uncertainty_score":0.8367339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006144979491419658,"score_gpt":0.2182139842275191,"score_spread":0.2120690047360994,"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."}}