{"id":"W4409060276","doi":"10.1002/smsc.202400553","title":"Recyclable Printed Liquid Metal Composite for Underwater Stretchable Electronics","year":2025,"lang":"en","type":"article","venue":"Small Science","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Underwater; Composite number; Materials science; Electronics; Stretchable electronics; 3d printed; Composite material; Nanotechnology; Engineering; Manufacturing engineering; Electrical engineering; Geology; Oceanography","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":[0.0002471771,0.0001079746,0.0001322902,0.00009232698,0.0001642225,0.00007640449,0.0002654657,0.00003520136,0.00001275365],"category_scores_gemma":[0.00005052038,0.00009891101,0.00002920059,0.0003592695,0.00009914314,0.000169166,0.00004968702,0.00006151675,0.000008396783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116268,"about_ca_system_score_gemma":0.00005987177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416646,"about_ca_topic_score_gemma":0.00003550985,"domain_scores_codex":[0.9990946,0.000007545786,0.0001492718,0.0002183668,0.00008182117,0.0004483745],"domain_scores_gemma":[0.9996398,0.00004076175,0.0000167752,0.000185289,0.00006505719,0.00005228119],"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":[0.00001850674,0.000007160209,0.0000105491,0.00003731103,0.000009021439,4.330429e-7,0.00002432517,0.09281567,0.9009823,0.005598553,0.00003295857,0.000463268],"study_design_scores_gemma":[0.000175567,0.00004949072,0.00004677792,0.00003079976,0.000009828244,0.000001662633,0.00001350698,0.02354672,0.9607629,0.002471742,0.0127593,0.0001316817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025671,0.0001367349,0.08546927,0.00007661368,0.0005992531,0.0001605414,0.000005168166,0.0003560477,0.01062921],"genre_scores_gemma":[0.9801304,0.00002911254,0.01744769,0.00006956256,0.00003081045,0.00002643683,0.000005051515,0.00001480297,0.002246131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07756325,"threshold_uncertainty_score":0.4033474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468796821699351,"score_gpt":0.242476530572341,"score_spread":0.2277885623553475,"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."}}