{"id":"W2405795632","doi":"10.1002/admt.201600032","title":"User‐Interactive and Wireless‐Communicating RF Textiles","year":2016,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genia Photonics (Canada); Université Laval","funders":"Canada Research Chairs","keywords":"Bluetooth; Wireless; Capacitive sensing; Radio frequency; Computer science; Textile; Electrical engineering; Materials science; Telecommunications; Engineering","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":[0.00009778486,0.0002277219,0.0002861719,0.00008777448,0.00008161069,0.00005128901,0.0003945126,0.0001766884,0.00001705643],"category_scores_gemma":[0.000224105,0.0001676282,0.00001904521,0.0001026592,0.0002376613,0.0004000326,0.0003239027,0.0001182777,0.00001602726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005428963,"about_ca_system_score_gemma":0.000004148191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005112649,"about_ca_topic_score_gemma":0.00001153396,"domain_scores_codex":[0.9990636,0.0000195467,0.0002754777,0.0002398311,0.00007262054,0.0003288982],"domain_scores_gemma":[0.998934,0.000341936,0.00008692761,0.0005831653,0.00003135403,0.00002260893],"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":[0.000007515869,0.000004733361,0.0000981594,0.00003105698,0.00001996306,0.000004028129,0.00002549005,0.0004510222,0.8358634,0.002808799,0.00006282137,0.160623],"study_design_scores_gemma":[0.0002677136,0.00002951876,0.0005880001,0.0005130683,0.000007201289,0.00001516669,0.0002634855,0.0001148999,0.9909261,0.003977406,0.003001642,0.0002957265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990442,0.0006228918,0.002239575,0.0002172758,0.0002979321,0.0001180937,0.00001875033,0.005398788,0.000644742],"genre_scores_gemma":[0.9832726,0.003293073,0.01315499,0.000009381688,0.00002585664,0.0001079385,0.000003356271,0.00005958344,0.00007319877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603273,"threshold_uncertainty_score":0.6835679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634922364077895,"score_gpt":0.2192851339633048,"score_spread":0.2129359103225259,"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."}}