{"id":"W2901407878","doi":"10.1149/ma2018-02/4/187","title":"Investigating the Removal of Layered Double Hydroxides in [Ni<sub>0.80</sub>Co<sub>0.15</sub>]<sub>0.95-X</sub>Al<sub>0.05+X</sub>(OH)<sub>2</sub> (x = 0, 0.05) Prepared By Coprecipitation","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Layered Double Hydroxides Synthesis and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Layered double hydroxides; Hydroxide; Coprecipitation; Divalent; Inorganic chemistry; Phase (matter); Metal; Nickel; Metal hydroxide; Materials science; Chemistry; Metallurgy; Organic chemistry","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00694235,0.001913605,0.0020767,0.0006960261,0.00199754,0.001136285,0.002415316,0.00115228,0.00003988733],"category_scores_gemma":[0.003169155,0.001832274,0.0006826209,0.002310331,0.001879216,0.001865032,0.0008105816,0.00149601,0.001344194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008620993,"about_ca_system_score_gemma":0.0009195256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006601147,"about_ca_topic_score_gemma":0.001309251,"domain_scores_codex":[0.9851471,0.001163766,0.004583591,0.003258846,0.002767795,0.003078885],"domain_scores_gemma":[0.9880857,0.002608303,0.004140639,0.00294235,0.001139435,0.001083562],"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":[0.0003632848,0.0006893146,0.0002935716,0.0003108975,0.0001485976,0.00007036554,0.002552221,0.009793052,0.9685502,0.0001552726,0.0133477,0.003725509],"study_design_scores_gemma":[0.00288431,0.0003396595,0.002915978,0.001609312,0.0002592497,0.0002559143,0.0008828226,0.003282593,0.982648,0.001909026,0.001076582,0.001936563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847731,0.0007912238,0.0001024581,0.001203113,0.001482999,0.002924524,0.0003591286,0.0009094175,0.007454036],"genre_scores_gemma":[0.9943696,0.0005104232,0.001610975,0.0007478528,0.001099319,0.0008370763,0.0003483877,0.0004553558,0.00002101703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409778,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186230307159374,"score_gpt":0.2604152164302291,"score_spread":0.2385529133586353,"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."}}