{"id":"W2626167692","doi":"10.1126/sciadv.1602051","title":"Flexible and stretchable power sources for wearable electronics","year":2017,"lang":"en","type":"article","venue":"Science Advances","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":402,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University; National Science Foundation","keywords":"Wearable computer; Flexibility (engineering); Wearable technology; Battery (electricity); Electronics; Stretchable electronics; Computer science; Power (physics); Embedded system; Electrical engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001083044,0.0003053681,0.0001862945,0.0002922985,0.0001927706,0.0004286493,0.000392047,0.0004083459,0.002978079],"category_scores_gemma":[0.0002856655,0.000141118,0.0001317316,0.0003064309,0.0002697851,0.0008656774,0.0003809571,0.0005415773,0.00104957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692821,"about_ca_system_score_gemma":0.0001146182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001001377,"about_ca_topic_score_gemma":0.0002823505,"domain_scores_codex":[0.9999218,0.000006274514,0.000005369104,0.00001493748,0.00004245956,0.000009239199],"domain_scores_gemma":[0.9999112,0.00001981171,0.00002273542,0.00001494231,0.00002023461,0.00001105281],"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":[0.00004559688,0.00002748665,0.0001889979,0.0002822124,0.000008026291,0.0002828888,0.00006948763,0.001535677,0.9431205,0.007025857,0.001254667,0.04615857],"study_design_scores_gemma":[0.00002384524,0.0002272971,0.0008116016,0.00008964889,0.0000153985,0.0007218624,0.0000883007,0.009724491,0.9311723,0.00694986,0.0501398,0.00003558588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142784,0.03377894,0.3866197,0.002682742,0.00106603,0.0002592924,0.000876408,0.002328228,0.05811021],"genre_scores_gemma":[0.9047967,0.01173891,0.06758077,0.0003907415,0.0001759583,0.0001104431,0.0002818735,0.0001750797,0.01474965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002978079,"threshold_uncertainty_score":0.009962678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281047026645961,"score_gpt":0.267457386673947,"score_spread":0.2546469164074874,"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."}}