{"id":"W3159217696","doi":"10.1126/scirobotics.abi5066","title":"Unraveling DNA inspires artificial muscle","year":2021,"lang":"en","type":"letter","venue":"Science Robotics","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial muscle; Skeletal muscle; DNA; Anatomy; Computer science; Artificial intelligence; Biology; Biochemistry","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":[0.001425361,0.000371355,0.0004302264,0.0002414254,0.001401871,0.001701226,0.0007687012,0.01440738,0.003119218],"category_scores_gemma":[0.004003773,0.0003516825,0.00036139,0.0001540625,0.00323385,0.002724867,0.001260365,0.007691133,0.002999969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296856,"about_ca_system_score_gemma":0.0006898933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007751967,"about_ca_topic_score_gemma":0.001486248,"domain_scores_codex":[0.9991398,0.0001793819,0.0000348998,0.00007614737,0.0004812671,0.00008840395],"domain_scores_gemma":[0.9983962,0.001159907,0.00006910874,0.00007525171,0.0001791798,0.0001203349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003095398,0.0001189415,0.0004444045,0.000366904,0.00003750452,0.002755781,0.000423025,0.001127231,0.03203262,0.1570183,0.6906821,0.1146836],"study_design_scores_gemma":[0.0000898645,0.0001771588,0.0001185327,0.00006239079,0.000007821571,0.0007936488,0.0001437643,0.002390924,0.01240325,0.05570438,0.9280683,0.00004012762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.008998509,0.03741415,0.01607077,0.8455777,0.04142094,0.00007031925,0.0001208746,0.0003735335,0.04995314],"genre_scores_gemma":[0.1814525,0.03275711,0.01604714,0.6157292,0.0299843,0.0004065215,0.0001369453,0.0001965208,0.1232898],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01440738,"threshold_uncertainty_score":0.01043487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631465807921079,"score_gpt":0.2358514135664093,"score_spread":0.2095367554871985,"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."}}