{"id":"W4213443614","doi":"10.1016/j.jallcom.2022.164313","title":"Effect of Ti microparticles on the microstructure and properties of Ni-Ti composite coating prepared by electrodeposition","year":2022,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Electrodeposition and Electroless Coatings","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microstructure; Materials science; Nucleation; Composite number; Coating; Microparticle; Plating (geology); Composite material; Current density; Deposition (geology); Texture (cosmology); Grain size; Metallurgy; Chemical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003364829,0.0001246787,0.000266717,0.00006100732,0.0001729448,0.00003901073,0.0001060994,0.00002732968,0.000004506502],"category_scores_gemma":[0.000008211808,0.00008604178,0.00005640273,0.0001018667,0.00006038617,0.00006601571,0.00003122299,0.0002929676,5.56777e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003861032,"about_ca_system_score_gemma":0.00001213648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211984,"about_ca_topic_score_gemma":0.000002335877,"domain_scores_codex":[0.9990706,0.0001505464,0.0003453893,0.00007877665,0.0002032171,0.0001514426],"domain_scores_gemma":[0.9995435,0.00008132506,0.000209697,0.00007442538,0.00005497207,0.00003611398],"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":[0.0003717013,0.00002747237,0.0006779807,0.0001202841,0.0000854269,0.00000164108,0.0004967522,0.0006477394,0.9963351,0.00006655225,0.0007222075,0.0004471504],"study_design_scores_gemma":[0.0005934028,0.001925342,0.0004348604,0.000097403,0.00005797037,0.0003196042,0.00008249624,0.003337595,0.9929163,0.00006082852,0.00008510924,0.00008906294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960973,0.003379873,0.00005465818,0.0002359369,0.00004067984,0.0001027491,0.00000593729,0.0000135519,0.00006934142],"genre_scores_gemma":[0.9996959,0.0001092665,0.00006557773,0.00007121031,0.00002406574,0.000004992106,0.000003119076,0.00001583975,0.00001005874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003598597,"threshold_uncertainty_score":0.3508682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003396576849054205,"score_gpt":0.179270798419523,"score_spread":0.1758742215704688,"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."}}