{"id":"W2294586957","doi":"10.1149/ma2015-02/1/73","title":"Synthesis at Low Cost and Large Scale of Silicon Powder Suitable for Li-Ion Anodes","year":2015,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Materials science; Ball mill; Nanocrystalline material; Anode; Agglomerate; Silicon; Chemical engineering; Nanoparticle; Nanotechnology; Electrode; Metallurgy; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0006143263,0.0001381686,0.0002267315,0.00004420868,0.00005403265,0.00002789479,0.00008062946,0.00008071947,0.00002631012],"category_scores_gemma":[0.0004328991,0.0001432006,0.00001838397,0.00003811497,0.00002592691,0.0001608643,0.00005346397,0.00004413748,0.00002004797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007601422,"about_ca_system_score_gemma":0.000008827791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144389,"about_ca_topic_score_gemma":0.00001048534,"domain_scores_codex":[0.9990818,0.00001831877,0.0002975488,0.0001614546,0.0001276943,0.0003131721],"domain_scores_gemma":[0.9993258,0.0002735986,0.00009132944,0.0001666492,0.0000557868,0.0000868589],"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":[0.00006610456,0.00007394131,0.00503052,0.0006716489,0.00003649997,0.000002987956,0.0007762489,0.1020545,0.8866259,0.000004378238,0.004135595,0.0005216026],"study_design_scores_gemma":[0.0003957449,0.00001875334,0.00211748,0.0002066135,0.00001933488,0.000003448988,0.0001861323,0.0010641,0.9921554,0.00007434619,0.003595291,0.0001633879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933478,0.0001744748,0.00006986102,0.00002566053,0.00044408,0.0002557508,0.00008762825,0.0001037392,0.005491056],"genre_scores_gemma":[0.9979616,0.00001410308,0.001618317,0.00002032147,0.0001030455,0.00004347756,0.00001262232,0.00004406457,0.0001824051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055294,"threshold_uncertainty_score":0.5839552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960741448983551,"score_gpt":0.2504904410784627,"score_spread":0.2308830265886272,"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."}}