{"id":"W2287707403","doi":"10.1149/ma2016-01/25/1277","title":"(Invited) A Versatile Fabrication Platform for Rapid Prototyping of Biosensors","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nanotechnology; Rapid prototyping; Materials science; Interfacing; Biosensor; Fluidics; Microfluidics; Computer science; Fabrication; Computer hardware; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001200911,0.001312382,0.0005290799,0.001126415,0.0006008648,0.001574719,0.001221643,0.001860469,0.05845303],"category_scores_gemma":[0.000851121,0.0005563505,0.0008620002,0.0004942474,0.0005743226,0.001566314,0.001247267,0.001942918,0.04474867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005479703,"about_ca_system_score_gemma":0.0004443185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003626623,"about_ca_topic_score_gemma":0.000905299,"domain_scores_codex":[0.999038,0.00009036785,0.00005313805,0.0001883748,0.0005180326,0.00011216],"domain_scores_gemma":[0.9993493,0.000118019,0.00004902715,0.00004180106,0.0002903359,0.0001514671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003962462,0.0001752051,0.0003921264,0.001608097,0.00006019479,0.0007160665,0.000225383,0.001128825,0.2983261,0.004669342,0.3767096,0.3155928],"study_design_scores_gemma":[0.00004313497,0.0002513035,0.0005806639,0.00006282604,0.00002952896,0.0007299018,0.00008284144,0.001410138,0.06307787,0.001019745,0.9326542,0.00005785615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03986759,0.138881,0.3495723,0.02516092,0.1347696,0.002146128,0.00372428,0.01181916,0.294059],"genre_scores_gemma":[0.0885281,0.05721331,0.09925491,0.007053378,0.0250537,0.00141639,0.003374392,0.002673785,0.715432],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05845303,"threshold_uncertainty_score":0.1955449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598772707824187,"score_gpt":0.2368129274617495,"score_spread":0.2108252003835077,"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."}}