{"id":"W4327897979","doi":"10.1002/advs.202206416","title":"Hierarchically Structured Deformation‐Sensing Mechanochromic Pigments","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Adolphe Merkle Foundation; Nottingham Trent University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Trent University; National Science Foundation","keywords":"Deformation (meteorology); Materials science; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001360629,0.00008019034,0.00007214118,0.0001044228,0.0004527869,0.00006116147,0.0002716964,0.00001175251,0.00004998914],"category_scores_gemma":[0.000005863884,0.00007303757,0.00002933973,0.0009665613,0.0001715698,0.0003079614,0.0001047824,0.00008144972,0.0001082836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003298952,"about_ca_system_score_gemma":0.00006595919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383921,"about_ca_topic_score_gemma":8.275333e-7,"domain_scores_codex":[0.9991689,0.000005073401,0.0001329725,0.0002251655,0.000175655,0.0002922136],"domain_scores_gemma":[0.9995586,0.00001406095,0.00005709617,0.0002448734,0.00005569484,0.00006973636],"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":[0.000001750185,0.000005822048,0.0001192982,0.000002061207,0.000002003004,1.967875e-7,0.0001318183,0.0008785106,0.8733292,0.0550777,0.0001297049,0.07032197],"study_design_scores_gemma":[0.0002931701,0.00002821075,0.002479839,0.00003234383,0.000005589589,0.000001368834,0.0002884141,0.04284478,0.7653716,0.1844423,0.003924602,0.0002878192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82996,0.000002780593,0.1638457,0.0001757196,0.0001110935,0.0002346758,0.00002184739,0.0002399759,0.005408275],"genre_scores_gemma":[0.966235,0.000001262453,0.03337353,0.00005611416,0.00002733441,0.00001387759,0.0000233753,0.000007337517,0.0002621034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362751,"threshold_uncertainty_score":0.3482517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094440003721307,"score_gpt":0.2928589051315897,"score_spread":0.2857644651278684,"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."}}