{"id":"W2883084370","doi":"10.3390/s18072369","title":"A Wearable Textile Thermograph","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Group; Defence Science and Technology Laboratory; Trent University; Nottingham Trent University","keywords":"Textile; Yarn; Thermistor; Wearable computer; Materials science; Composite material; Bending; Mechanical engineering; Computer science; Electrical engineering; Engineering; Embedded system","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":[0.0003488526,0.0004557632,0.0005060196,0.0004122994,0.0002770194,0.0006305132,0.0006165357,0.0009103874,0.005912767],"category_scores_gemma":[0.0006968211,0.000298386,0.0004707845,0.0004224763,0.0002760139,0.0007744724,0.0005781504,0.0005952649,0.001791506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002603579,"about_ca_system_score_gemma":0.0002247873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001887098,"about_ca_topic_score_gemma":0.0003504491,"domain_scores_codex":[0.9995975,0.00007961524,0.00002170622,0.0001125799,0.0001591276,0.00002960612],"domain_scores_gemma":[0.9995384,0.0001368283,0.00006681088,0.000111803,0.00009179042,0.00005435981],"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":[0.0004684082,0.00009274053,0.001357944,0.0007998055,0.00005474322,0.0006642386,0.0003073204,0.001198397,0.8872249,0.001557044,0.006995882,0.09927852],"study_design_scores_gemma":[0.0001195073,0.003368165,0.02941901,0.0003364914,0.0002961257,0.01248757,0.0002629487,0.01782154,0.7031853,0.001181458,0.231238,0.000283815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3717964,0.0141597,0.5531146,0.001834035,0.004333925,0.001009574,0.003222701,0.01126941,0.0392596],"genre_scores_gemma":[0.7239384,0.004241893,0.2133448,0.001573847,0.0005376855,0.000465379,0.0009588351,0.0005758305,0.05436321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005912767,"threshold_uncertainty_score":0.01978022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415835100583811,"score_gpt":0.3008826001750757,"score_spread":0.2767242491692375,"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."}}