{"id":"W2348305832","doi":"","title":"Repeatability limit comparison method of diagnostic ratios in oil fingerprint identification","year":2011,"lang":"en","type":"article","venue":"Marine Environmental Science","topic":"Forensic Fingerprint Detection Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repeatability; Fingerprint (computing); Identification (biology); Detection limit; Statistic; Limit (mathematics); Mathematics; Statistics; Computer science; Artificial intelligence","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":[0.0117085,0.0009051033,0.0008341832,0.003125226,0.001022335,0.001481346,0.001992904,0.001431262,0.001895818],"category_scores_gemma":[0.02704058,0.0005423379,0.00078231,0.00218132,0.001935986,0.002585106,0.001484462,0.001451452,0.001005899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031514,"about_ca_system_score_gemma":0.001542877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100872,"about_ca_topic_score_gemma":0.001033664,"domain_scores_codex":[0.9693452,0.01161434,0.001178021,0.003737413,0.01365335,0.0004716245],"domain_scores_gemma":[0.9890916,0.005158059,0.001035564,0.001393185,0.003161453,0.0001600331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004988653,0.0002319839,0.009505897,0.0009842714,0.0002012666,0.0003419996,0.000913584,0.008790868,0.256124,0.06630334,0.003922482,0.6521814],"study_design_scores_gemma":[0.0001474161,0.002006371,0.01715215,0.0002616686,0.000441289,0.006386979,0.0005581492,0.1861372,0.6716565,0.04232284,0.07215282,0.0007767691],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01172451,0.001128779,0.9822427,0.0001110353,0.0001141666,0.0001048865,0.00005815894,0.0006938362,0.003821839],"genre_scores_gemma":[0.202775,0.0006491325,0.7933314,0.0001653211,0.0001106086,0.0003399682,0.0001452506,0.0002016896,0.002281596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0117085,"threshold_uncertainty_score":0.06192118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842755263387761,"score_gpt":0.3313864171534634,"score_spread":0.2929588645195858,"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."}}