{"id":"W2809044405","doi":"10.1038/s41598-018-27885-1","title":"Fabrication of 3D Fingerprint Phantoms via Unconventional Polycarbonate Molding","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fingerprint (computing); Biometrics; Computer science; Polydimethylsiloxane; Fingerprint recognition; Polycarbonate; Artificial intelligence; Materials science; Microfabrication; Nanotechnology; Fabrication; Composite material","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":[0.0005547236,0.0006314507,0.0002470569,0.0003872259,0.0002101604,0.0004297032,0.0007239787,0.0006099946,0.001383606],"category_scores_gemma":[0.0009128402,0.000547799,0.0003705886,0.0002120683,0.0004941984,0.0005102149,0.0006072376,0.0006041891,0.0006929976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386791,"about_ca_system_score_gemma":0.000398004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000256223,"about_ca_topic_score_gemma":0.0005085274,"domain_scores_codex":[0.9996536,0.00003564531,0.00002354789,0.0000863057,0.000162842,0.00003814265],"domain_scores_gemma":[0.9991869,0.0002250163,0.0001970002,0.0002625311,0.00006685984,0.00006163347],"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":[0.00004555445,0.00002598415,0.0001498371,0.00008538667,0.000007462526,0.0001476719,0.00005678769,0.001334185,0.9906247,0.0008337827,0.0001381244,0.006550602],"study_design_scores_gemma":[0.00001616276,0.0001723154,0.0006121465,0.000009578604,0.000007658281,0.0002294049,0.000010913,0.005061463,0.9874699,0.0002042353,0.006183484,0.00002273774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4858623,0.002444901,0.5003495,0.0003402353,0.0003707557,0.0008447922,0.001289043,0.001914095,0.006584525],"genre_scores_gemma":[0.5782403,0.001788509,0.4134972,0.0002013811,0.00005705994,0.001009438,0.0007320492,0.000190891,0.004283185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001383606,"threshold_uncertainty_score":0.004628599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009201390195443018,"score_gpt":0.2360089898725731,"score_spread":0.2268075996771301,"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."}}