{"id":"W4403415539","doi":"10.1016/j.jcis.2024.10.067","title":"Revealing nature’s beauty through crafting structural color-coated fabrics with bioinspired modification of MXene","year":2024,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University; Toronto Zoo","funders":"Department of Chemical Engineering, Universiti Teknologi Petronas; Government of Ontario; Natural Sciences and Engineering Research Council of Canada; Mitacs; Toronto Metropolitan University","keywords":"Structural coloration; Polymer science; Beauty; Materials science; Nanotechnology; Aesthetics; Chemistry; Art; Optoelectronics","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":[0.00009472104,0.0002182633,0.00007233927,0.0001335335,0.0001075043,0.0002696172,0.0001722242,0.000220872,0.001570643],"category_scores_gemma":[0.0001183433,0.0001434889,0.0001511441,0.00007073661,0.0002259685,0.0002725051,0.0001927585,0.0003734904,0.000238401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001617611,"about_ca_system_score_gemma":0.00007588645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001697913,"about_ca_topic_score_gemma":0.0005137189,"domain_scores_codex":[0.9999537,0.000003845806,0.000001549823,0.00001233346,0.0000141767,0.00001431755],"domain_scores_gemma":[0.9999349,0.00001539848,0.00002025343,0.00001137426,0.000007454715,0.0000105128],"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":[0.00002054113,0.000005672889,0.00006301329,0.00002207612,0.000003143518,0.00003891218,0.00001975649,0.0000688363,0.9977501,0.000423903,0.00004288516,0.001541238],"study_design_scores_gemma":[0.000003509547,0.00006135149,0.0006020485,0.000003147486,0.000004698263,0.00006358838,0.00001655565,0.0005679833,0.9973605,0.00005808847,0.001254565,0.00000378532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903873,0.0003711468,0.004769277,0.00009192075,0.00004697149,0.000009227122,0.00004880789,0.0001178484,0.004157458],"genre_scores_gemma":[0.9932768,0.0003015072,0.003377654,0.00005470025,0.000006966245,0.000006833206,0.00003699493,0.00003797245,0.002900462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001570643,"threshold_uncertainty_score":0.005254328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711018637925386,"score_gpt":0.3199572761354555,"score_spread":0.3028470897562016,"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."}}