{"id":"W4402418629","doi":"10.1002/smll.202404810","title":"3D Printing‐Induced Hierarchically Aligned Nanocomposites With Exceptional Multidirectional Strain Sensing Performance","year":2024,"lang":"en","type":"article","venue":"Small","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Microscale chemistry; Materials science; Nanocomposite; Polydimethylsiloxane; Isotropy; Electronics; Anisotropy; Nanotechnology; Flexible electronics; Graphene; Soft robotics; 3D printing; Elastomer; Composite material; Computer science; Actuator; Electrical engineering; Optics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001200798,0.0003487128,0.0001193421,0.0002798084,0.0001236453,0.0002720537,0.0001707223,0.0003436823,0.0005084552],"category_scores_gemma":[0.0002476072,0.0002134819,0.0002015404,0.0001584775,0.0001729775,0.0002422148,0.0001874789,0.000371177,0.00020147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225973,"about_ca_system_score_gemma":0.0001289392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003568821,"about_ca_topic_score_gemma":0.001323084,"domain_scores_codex":[0.9998786,0.000007857223,0.00001016891,0.00003356284,0.00004877635,0.00002108107],"domain_scores_gemma":[0.9998044,0.00004018097,0.0000682003,0.00002384863,0.00003508927,0.00002828573],"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":[0.000008176194,0.000007619103,0.00006798473,0.00001540734,0.000002025215,0.00002895474,0.000008367373,0.0002381263,0.9980481,0.00006852009,0.00003209234,0.001474672],"study_design_scores_gemma":[0.00000321764,0.00003451413,0.0009627541,0.000001584238,0.000004940808,0.00004666993,0.000005387423,0.003028145,0.9953053,0.00002522092,0.0005766512,0.000005531432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698561,0.0006120711,0.02472336,0.00009423997,0.00005259756,0.00003084903,0.0002342987,0.0005673806,0.003829166],"genre_scores_gemma":[0.9810129,0.0001857659,0.01732795,0.00004023112,0.0000113108,0.00002771114,0.000126319,0.00004146278,0.001226271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005084552,"threshold_uncertainty_score":0.001700938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432464378045771,"score_gpt":0.2080932539448365,"score_spread":0.1937686101643788,"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."}}