{"id":"W2593330578","doi":"10.3390/met7030079","title":"Application of Boron Oxide as a Protective Surface Treatment to Decrease the Air Reactivity of Carbon Anodes","year":2017,"lang":"en","type":"article","venue":"Metals","topic":"Advanced ceramic materials synthesis","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Alcoa (Canada); Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Anode; Materials science; Boron; Carbon fibers; Oxide; Boron oxide; Electrolysis; Reactivity (psychology); Graphite; Coating; Metallurgy; Chemical engineering; Inorganic chemistry; Electrolyte; Chemistry; Nanotechnology; Electrode; Composite material; Composite number; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001159972,0.0003677613,0.000255501,0.0002803914,0.0001657548,0.0002455415,0.0002605583,0.000298764,0.000550925],"category_scores_gemma":[0.0001687276,0.0001837101,0.0002402323,0.000120912,0.000130464,0.000144596,0.0001687488,0.0002240345,0.0001564501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516995,"about_ca_system_score_gemma":0.0001670914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006808083,"about_ca_topic_score_gemma":0.001174969,"domain_scores_codex":[0.9998846,0.000008809885,0.000008681807,0.00002268201,0.00004313766,0.00003201423],"domain_scores_gemma":[0.9999242,0.00001139485,0.00001962664,0.000007516198,0.00002235863,0.00001480802],"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":[0.00005003902,0.000007483371,0.00007979971,0.00006041485,0.000002939313,0.00002622354,0.00000866371,0.00004994377,0.9984227,0.00003001848,0.00001852735,0.00124326],"study_design_scores_gemma":[0.000004224289,0.000123142,0.0008812638,0.000004639138,0.00000938142,0.00004286172,0.000009294752,0.0003345096,0.9976996,0.000009096922,0.000879221,0.000002797236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903982,0.002290149,0.005095466,0.00005817226,0.00007117614,0.00003249796,0.00009843733,0.000119373,0.001836654],"genre_scores_gemma":[0.9935969,0.0007502812,0.004415263,0.00002282672,0.000009800146,0.00001430249,0.00006904901,0.00001974608,0.001101681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006808083,"threshold_uncertainty_score":0.001843035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888650314315378,"score_gpt":0.291871408065616,"score_spread":0.2729849049224622,"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."}}