{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006171901,0.00009212382,0.0001114373,0.0003143405,0.00008822405,0.00005020584,0.0001040978,0.00004553573,0.0002992415],"category_scores_gemma":[0.00004009671,0.00009256862,0.00007369586,0.000702572,0.0002043641,0.0001318206,0.00002642183,0.00005074143,0.00001214741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003237474,"about_ca_system_score_gemma":0.00002337921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001537395,"about_ca_topic_score_gemma":0.000003213709,"domain_scores_codex":[0.9988313,0.00001342803,0.0004145518,0.0002778159,0.0003018175,0.0001610423],"domain_scores_gemma":[0.9990698,0.00001442211,0.0001525505,0.0004652997,0.0002427363,0.00005522702],"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":[0.000004720071,0.00008047251,0.01054338,0.00007648527,0.00005447323,0.00001467504,0.0004642288,0.0001629085,0.9075794,0.001258514,0.01033476,0.06942598],"study_design_scores_gemma":[0.00007906915,0.00002825964,0.01023085,0.00006539838,0.0000192075,0.00006822271,0.00001792841,0.01683414,0.9083059,0.01247423,0.05162028,0.0002565515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8208434,0.0003330686,0.1522632,0.00003185907,0.01009306,0.000323492,0.000003503017,0.0009114826,0.01519693],"genre_scores_gemma":[0.9932754,0.000003918885,0.006313239,0.000005436004,0.00007788881,0.00001880151,0.00001923194,0.00001326515,0.0002727942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172432,"threshold_uncertainty_score":0.3774839,"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."}}