{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006051116,0.0001067515,0.0001922086,0.0001620041,0.000279118,0.00003098402,0.0005179094,0.00005808863,0.0008614397],"category_scores_gemma":[0.003479802,0.0001135179,0.00005010114,0.0006615852,0.001792287,0.0004069376,0.0003733419,0.0001635905,0.00004181836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645569,"about_ca_system_score_gemma":0.00008332069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718891,"about_ca_topic_score_gemma":0.001897671,"domain_scores_codex":[0.9975776,0.0004350513,0.0005161615,0.0004879523,0.0006657917,0.0003174473],"domain_scores_gemma":[0.9985992,0.0005899665,0.0002407892,0.0004371659,0.0000182844,0.0001145337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001572765,0.0002434533,0.6081451,0.000008283861,0.000002086199,0.00000160898,0.009731578,0.00008293564,0.0176702,0.001797118,0.000003518701,0.3622984],"study_design_scores_gemma":[0.000115588,0.0000398004,0.9252891,0.000009508994,0.000006606936,0.000001244787,0.001851043,0.0007882323,0.06913607,0.002007117,0.0006223889,0.0001332941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714279,0.00001244537,0.009181125,0.0001268257,0.0003905632,0.0001944598,0.000002656247,0.00003674121,0.01862728],"genre_scores_gemma":[0.9362805,0.00004642782,0.06325149,0.00001897692,0.00002165385,0.00002895113,0.000001583115,0.000005805213,0.0003446402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3621651,"threshold_uncertainty_score":0.9432161,"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."}}