{"id":"W4236551499","doi":"10.1016/s0969-4765(05)00260-2","title":"London Drugs prescribes fingerprint solution","year":2005,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Trade Secret Protection Methods","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Password; Biometrics; Fingerprint (computing); Computer security; Business; Login; Sign (mathematics); Computer science; Internet privacy; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380002,0.0004229941,0.000408726,0.0008683805,0.001766671,0.001674684,0.0005741559,0.00277478,0.2987456],"category_scores_gemma":[0.003460114,0.0003480462,0.000410837,0.0005644003,0.000597028,0.0009818499,0.0006890437,0.001801511,0.1075971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645251,"about_ca_system_score_gemma":0.005066066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03008376,"about_ca_topic_score_gemma":0.118131,"domain_scores_codex":[0.9984834,0.0001184654,0.00009142974,0.0001432115,0.0009752152,0.0001883212],"domain_scores_gemma":[0.9962088,0.000639181,0.0002505295,0.0002454365,0.001466548,0.001189534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001396451,0.00009559167,0.001208049,0.0002798538,0.000007830465,0.0005470061,0.0001504763,0.00004410268,0.00206531,0.002912943,0.8572707,0.1352785],"study_design_scores_gemma":[0.00003589486,0.00006198818,0.001013223,0.00009460807,0.000004746255,0.0003814449,0.00005712503,0.00003782214,0.0003307173,0.0001078493,0.9978655,0.000009136301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005355242,0.0114808,0.001515507,0.0283587,0.002168782,0.0003434373,0.002989698,0.003251361,0.9445365],"genre_scores_gemma":[0.02115637,0.004686663,0.001602355,0.0132901,0.0003237029,0.00007948592,0.0009012516,0.0002185499,0.9577416],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2987456,"threshold_uncertainty_score":0.9994035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066312926673382,"score_gpt":0.4059915406593188,"score_spread":0.3553284113925849,"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."}}