{"id":"W4285120924","doi":"10.2139/ssrn.4101124","title":"Nanoarchitecture of Self-Assembled Chessboard by Recurrent Phase Separation and Coalescence of Nano Domains in Cofemn Oxide","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Coalescence (physics); Nano-; Oxide; Nanotechnology; Materials science; Self-assembly; Chemical engineering; Physics; Engineering; Composite material; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004856064,0.0001010505,0.0000876326,0.0001870681,0.0002614699,0.0002934377,0.0002081304,0.0001613581,0.0009125886],"category_scores_gemma":[0.0001072688,0.0001391021,0.00006547094,0.00007854065,0.0002061005,0.0001685271,0.0001054669,0.0001700719,0.00008493787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227333,"about_ca_system_score_gemma":0.0001853837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239948,"about_ca_topic_score_gemma":0.002926743,"domain_scores_codex":[0.9999743,0.000001616317,0.000001422498,0.000006931194,0.000007347728,0.000008329339],"domain_scores_gemma":[0.9999484,0.000007880526,0.0000120464,0.000007115035,0.00000864041,0.00001598259],"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":[0.00009754662,0.00002763673,0.0009355817,0.00003283696,0.000007144287,0.0001202437,0.00008996663,0.00240234,0.9933786,0.001307553,0.0001292039,0.001471284],"study_design_scores_gemma":[0.00004176534,0.0001711606,0.01618266,0.00001292717,0.00001784825,0.0001524271,0.0001873965,0.04788072,0.93274,0.0004815868,0.002113059,0.00001830674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985037,0.00008319529,0.0004352983,0.00000932847,0.000004363443,0.000002356868,0.00001720124,0.0000235002,0.0009209482],"genre_scores_gemma":[0.9993188,0.00001502091,0.0002839971,0.000003434324,7.264667e-7,0.000002572242,0.00002248359,0.000004610462,0.0003483547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239948,"threshold_uncertainty_score":0.00305289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003503121764597143,"score_gpt":0.2364475287733384,"score_spread":0.2329444070087413,"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."}}