{"id":"W4281754681","doi":"10.1109/fleps53764.2022.9781535","title":"Inkjet and Extrusion Printed Silver Biomedical Tattoo Electrodes","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Extrusion; Electrode; Materials science; Fabrication; Screen printing; Substrate (aquarium); 3D printing; Nanotechnology; Optoelectronics; Inkwell; Composite material; Biomedical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002998106,0.0003554728,0.0003091387,0.0005721151,0.0001429008,0.0004694826,0.0005116079,0.0007792566,0.001913623],"category_scores_gemma":[0.0008575174,0.0002250571,0.0002753647,0.0005918037,0.0002629747,0.0003950367,0.0002567204,0.0004507706,0.0009258633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116772,"about_ca_system_score_gemma":0.00009666315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007936318,"about_ca_topic_score_gemma":0.0001617571,"domain_scores_codex":[0.9994198,0.00003534817,0.00006922527,0.0001489449,0.0002787414,0.00004795752],"domain_scores_gemma":[0.9995259,0.0001292196,0.0001063886,0.00008605848,0.0001337537,0.00001857813],"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":[0.00005673808,0.00002397216,0.00009357704,0.00009410542,0.000003609604,0.0001614336,0.00003835541,0.0002567555,0.9912101,0.0001470969,0.0002141553,0.007700088],"study_design_scores_gemma":[0.000008307106,0.000116008,0.0007355752,0.000005842929,0.000006973397,0.0001650819,0.00001582479,0.00120128,0.9955158,0.00004060425,0.002178887,0.000009742827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056559,0.0036012,0.07337351,0.0003640943,0.0008665922,0.0002888209,0.001077046,0.001356699,0.01341612],"genre_scores_gemma":[0.8541047,0.001866549,0.1212789,0.0002081332,0.00008142091,0.0003014803,0.0007386878,0.0001820976,0.02123793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001913623,"threshold_uncertainty_score":0.006401777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805316158103416,"score_gpt":0.2709758265042428,"score_spread":0.2329226649232087,"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."}}