{"id":"W3000115648","doi":"10.1002/ange.201914201","title":"Athermal and Soft Multi‐Nanopatterning of Azopolymers: Phototunable Mechanical Properties","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Nanoimprint lithography; Materials science; Fabrication; Photolithography; Nanotechnology; Soft lithography; Polymer; Lithography; Nanolithography; Glass transition; Optoelectronics; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00007109574,0.0001077245,0.0001585445,0.00005595421,0.000016847,0.00001314391,0.00008549256,0.00006829833,0.0001106509],"category_scores_gemma":[0.000005765165,0.00009491092,0.00004610349,0.00009468142,0.00003085767,0.00009855934,0.00002766329,0.00007856343,0.000008392011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001030198,"about_ca_system_score_gemma":0.000006032805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002504784,"about_ca_topic_score_gemma":0.00000139337,"domain_scores_codex":[0.999487,0.000005977444,0.0001486989,0.0001265231,0.00008406056,0.0001477538],"domain_scores_gemma":[0.9997316,0.00001259259,0.00002928423,0.000159156,0.00002379144,0.00004358529],"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":[0.000005834033,0.00001532363,0.002157712,0.0001374233,0.00002048049,5.389618e-7,0.0002357774,0.000004725259,0.9961987,0.00003090372,0.0001261958,0.001066411],"study_design_scores_gemma":[0.0002424097,0.00002257541,0.0003141934,0.00006512272,0.000009402102,0.000003582592,0.00009517022,0.0005653204,0.9949194,0.00001203642,0.00362561,0.0001251911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994023,0.001907257,0.0009515805,0.00001656268,0.00005989599,0.000173004,0.000005914719,0.0003018549,0.002560878],"genre_scores_gemma":[0.9980376,0.000147669,0.001375805,0.00004198296,0.00001667203,0.00002191789,0.000003860896,0.00002334818,0.0003311484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004014543,"threshold_uncertainty_score":0.3870355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293565999537021,"score_gpt":0.2016319094092505,"score_spread":0.1886962494138803,"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."}}