{"id":"W2788872101","doi":"10.3390/polym10010060","title":"Integration of Heterogeneous Materials for Wearable Sensors","year":2018,"lang":"en","type":"review","venue":"Polymers","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Wearable computer; Flexibility (engineering); Robustness (evolution); Wearable technology; Computer science; Embedded system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001387266,0.0003132422,0.001079735,0.0001188324,0.00003173766,0.00002570959,0.0001368285,0.000211344,0.0001467078],"category_scores_gemma":[0.00008169357,0.0002703999,0.0002023269,0.00008663455,0.00004665738,0.00005118546,0.00001457966,0.00004247662,0.00003378336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006248214,"about_ca_system_score_gemma":0.00002269587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001938638,"about_ca_topic_score_gemma":0.000002653641,"domain_scores_codex":[0.9988356,0.00004320955,0.0005694089,0.0001944794,0.00009887908,0.0002584632],"domain_scores_gemma":[0.9993826,0.0001031242,0.0001707558,0.000249436,0.00004502149,0.00004903238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002162416,0.00001761633,1.414786e-8,0.04089121,0.0004539806,0.000004266798,0.0001070474,0.002189532,0.04584761,0.0001559376,0.0009184402,0.9093927],"study_design_scores_gemma":[0.00009258205,0.00004759946,2.421857e-8,0.0059808,0.0002786153,0.00002406544,0.000005707847,0.00005164533,0.1631226,0.000041295,0.8299837,0.0003714112],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003533496,0.9954991,0.0007721638,6.055034e-7,0.001903072,0.0003388292,0.0003247039,0.0001892986,0.0006188286],"genre_scores_gemma":[0.0002093119,0.9973681,0.001212305,0.00000278307,0.0003687945,0.00009054359,0.0001283165,0.0001304124,0.0004894388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9090213,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04177398489094003,"score_gpt":0.2941685223643955,"score_spread":0.2523945374734555,"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."}}