{"id":"W2863543314","doi":"10.1002/adem.201800206","title":"Coextrusion of Multifunctional Smart Sensors","year":2018,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Piezoelectricity; Poling; Fabrication; Nanotechnology; Wearable computer; Mechanical engineering; Electronics; Piezoelectric sensor; Electrode; 3D printing; Optoelectronics; Composite material; Electrical engineering; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001292492,0.0002486283,0.0003520799,0.0001183606,0.00004711188,0.00002048235,0.0001224425,0.00009402371,0.0003624199],"category_scores_gemma":[0.0001134105,0.0002562784,0.00004225912,0.0001566048,0.00006192097,0.0002122676,0.00003434639,0.00005362713,0.00008186726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004031015,"about_ca_system_score_gemma":0.000006781467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009245495,"about_ca_topic_score_gemma":0.000001223149,"domain_scores_codex":[0.9988443,0.00001504932,0.0004515378,0.0002010474,0.0001538027,0.0003343235],"domain_scores_gemma":[0.999432,0.00006586975,0.00006051501,0.000272006,0.00009032326,0.00007929349],"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":[0.00002364553,0.000006085902,0.000008799222,0.00009040599,0.0000189077,0.00000200335,0.00003567385,0.2215047,0.77731,0.0004179464,0.00005076794,0.0005311454],"study_design_scores_gemma":[0.000342998,0.00005630039,0.001398499,0.00009753462,0.00001069239,0.00001442401,0.000009056303,0.00378623,0.9892613,0.0001428738,0.004599648,0.0002804653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983882,0.00004664934,0.01108967,0.000004323806,0.003296581,0.0001037509,0.000054568,0.000763149,0.0007593608],"genre_scores_gemma":[0.9761359,0.00003901609,0.02319462,0.000009164312,0.0003737219,0.00001878752,0.00003086451,0.00008434354,0.0001135963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2177185,"threshold_uncertainty_score":0.999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008143799741020996,"score_gpt":0.2075887145162665,"score_spread":0.1994449147752455,"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."}}