{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524856,0.0001409033,0.0003151278,0.0001790175,0.0001795389,0.0003942756,0.0003892919,0.00007085165,0.00004931442],"category_scores_gemma":[0.0002138357,0.00009137901,0.00004182726,0.0006504949,0.0004646103,0.001268467,0.00008770424,0.0001810485,0.000002637054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008263601,"about_ca_system_score_gemma":0.0003987795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003029165,"about_ca_topic_score_gemma":0.000004263717,"domain_scores_codex":[0.9982806,0.00004985979,0.0005896646,0.000264422,0.0005521617,0.0002632308],"domain_scores_gemma":[0.998764,0.00007176212,0.0004404125,0.0001511569,0.0004775976,0.00009503775],"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":[0.0001128526,0.00001181561,0.00005311244,0.00008769725,0.000007907114,0.000002913325,0.001078928,0.0003511079,0.9972521,0.0007866099,0.0001198887,0.000135079],"study_design_scores_gemma":[0.0002578235,0.0004207659,0.0002782858,0.0004660886,0.00003137712,0.0001528727,0.0003639597,0.002055855,0.9948688,0.0003346859,0.0006526649,0.0001168527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946471,0.001307735,0.002095466,0.0003179462,0.001191768,0.0001292157,0.00001898756,0.00002374463,0.0002680259],"genre_scores_gemma":[0.9937985,0.00008107655,0.005856779,0.00005949111,0.0001041264,0.000001451337,5.035402e-7,0.000009434109,0.00008862084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003761314,"threshold_uncertainty_score":0.3802009,"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."}}