{"id":"W2070662831","doi":"10.1126/science.1246906","title":"Artificial Muscles from Fishing Line and Sewing Thread","year":2014,"lang":"en","type":"article","venue":"Science","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":1319,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Thread (computing); Artificial muscle; Ultimate tensile strength; Materials science; Composite material; Structural engineering; Mechanical engineering; Actuator; Engineering; Electrical engineering","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":[0.0001850967,0.0002666863,0.0001341804,0.0002010757,0.0001549408,0.0002812092,0.0002099055,0.0003500741,0.001144836],"category_scores_gemma":[0.00024817,0.0001450895,0.0002781174,0.0001409454,0.0003115435,0.0004915187,0.000374772,0.0003644445,0.0004852266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103923,"about_ca_system_score_gemma":0.000102873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008964437,"about_ca_topic_score_gemma":0.0002791388,"domain_scores_codex":[0.9998916,0.00001120322,0.000009236885,0.00002140365,0.00004935953,0.00001720729],"domain_scores_gemma":[0.9998566,0.00002514289,0.00005134573,0.00001593756,0.00002038234,0.00003059515],"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":[0.00002757646,0.00001012348,0.0002613299,0.0001113319,0.000004976041,0.000110974,0.00003644041,0.0002583115,0.9914466,0.0006098587,0.00009247106,0.007030053],"study_design_scores_gemma":[0.00002085241,0.0006922139,0.004577285,0.0000416573,0.0000195798,0.0008515753,0.00003796403,0.004027604,0.9721148,0.0004690895,0.01712875,0.00001859242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333354,0.003079604,0.05247078,0.0002388939,0.0001616634,0.00006910446,0.0001139807,0.0001681253,0.01036252],"genre_scores_gemma":[0.9477571,0.002124369,0.04251421,0.0001802167,0.0000426358,0.00008433271,0.0001742954,0.00005684381,0.007066114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144836,"threshold_uncertainty_score":0.003829837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423321373608977,"score_gpt":0.219429405876061,"score_spread":0.2051961921399713,"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."}}