{"id":"W7095726371","doi":"","title":"FINGERPRINT VERIFICATION FOR CONTROL OF ELECTRONIC BLAST INITIATION ABSTRACT","year":2008,"lang":"en","type":"article","venue":"","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Usability; Fingerprint (computing); Fingerprint recognition; Context (archaeology); Fingerprint Verification Competition; Control (management); Access control","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":[0.0008202682,0.000352065,0.0003686708,0.0005302322,0.0002504689,0.0005574461,0.0007741203,0.0005386763,0.004322284],"category_scores_gemma":[0.002839091,0.0001599957,0.0001387224,0.0002476585,0.0002442645,0.0006161879,0.0003813859,0.0003310182,0.000999326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862442,"about_ca_system_score_gemma":0.0003011198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007590425,"about_ca_topic_score_gemma":0.0008055173,"domain_scores_codex":[0.9987459,0.0001899494,0.00007112742,0.0002379542,0.000676238,0.00007885869],"domain_scores_gemma":[0.9980075,0.000575091,0.0004119755,0.0003203397,0.000628138,0.00005692638],"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":[0.001244585,0.0001943168,0.01120686,0.0002464403,0.0000243383,0.0004655402,0.0001578882,0.008082079,0.7479673,0.001129828,0.00212436,0.2271565],"study_design_scores_gemma":[0.00006486753,0.001962128,0.02260412,0.00005961919,0.00006134861,0.001076581,0.0001196854,0.1104445,0.8539698,0.0004614214,0.009116792,0.00005916426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6736855,0.0009802785,0.3091852,0.0003249636,0.0002224215,0.0003747924,0.0005553332,0.005117529,0.009553962],"genre_scores_gemma":[0.9726188,0.0000875459,0.02422466,0.00005255763,0.00001180454,0.0000262698,0.00006526546,0.00003023677,0.002882894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004322284,"threshold_uncertainty_score":0.01445949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367191639948337,"score_gpt":0.3372757261784158,"score_spread":0.2936038097789324,"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."}}