{"id":"W4399131046","doi":"10.4236/msce.2024.125003","title":"Modification of Nano-&amp;lt;i&amp;gt;&amp;amp;#945;&amp;lt;/i&amp;gt;-Al&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; and Its Influence on the Surface Properties of Waterborne Polyurethane Resin Composite Passivation Films","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Science and Chemical Engineering","topic":"Material Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Anhui University; National Natural Science Foundation of China","keywords":"Ampere; Adenylate kinase; Biology; Biochemistry; Enzyme; Physics; Thermodynamics","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.008210187,0.002823801,0.003699555,0.001443352,0.001743006,0.003260639,0.003764028,0.001423545,0.001370993],"category_scores_gemma":[0.003769419,0.002226397,0.0007841548,0.003211584,0.002704455,0.00340067,0.001695172,0.001668746,0.00128358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068954,"about_ca_system_score_gemma":0.0009202483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003049768,"about_ca_topic_score_gemma":0.0003270285,"domain_scores_codex":[0.9808928,0.0009356642,0.006242593,0.003406433,0.005015923,0.003506628],"domain_scores_gemma":[0.9870577,0.001104676,0.003428842,0.003701431,0.003007356,0.001699957],"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":[0.001336402,0.0006513088,0.00004103423,0.001964876,0.0002549122,0.000005772543,0.003347457,0.009986826,0.975382,0.0007035452,0.005862941,0.0004629194],"study_design_scores_gemma":[0.00161894,0.0001783529,0.000417388,0.0044436,0.0005784885,0.0005385772,0.00006516449,0.0002716334,0.8509582,0.0003923502,0.1380068,0.002530476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769692,0.005737294,0.006160912,0.003513308,0.003221882,0.002409987,0.001167523,0.0006550348,0.0001648986],"genre_scores_gemma":[0.9724264,0.0029467,0.01948702,0.000508859,0.001363254,0.0003235337,0.0007257542,0.0004691605,0.001749318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1321439,"threshold_uncertainty_score":0.9998728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211869025852925,"score_gpt":0.2439351556231514,"score_spread":0.2118164653646221,"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."}}