{"id":"W4406652175","doi":"10.3758/s13428-024-02585-z","title":"Eyewitness Lineup Identity (ELI) database: Crime videos and mugshots for eyewitness identification research","year":2025,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Eyewitness identification; Psychology; Witness; Culprit; Eyewitness memory; Identification (biology); Eyewitness testimony; Crime scene; Social psychology; Recall; Computer science; Cognitive psychology; Criminology; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002113404,0.0006170812,0.0006709401,0.003463509,0.0006813724,0.0008941069,0.001229106,0.000772518,0.04220048],"category_scores_gemma":[0.01170783,0.0003562815,0.0003322272,0.00195526,0.0002845906,0.001555023,0.001730787,0.0006916255,0.01650681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007527985,"about_ca_system_score_gemma":0.0009718141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00410093,"about_ca_topic_score_gemma":0.01155972,"domain_scores_codex":[0.9989894,0.0002085799,0.0001787972,0.0001933553,0.0003395501,0.00009035759],"domain_scores_gemma":[0.9911672,0.002485292,0.001298918,0.001834518,0.002399487,0.0008145125],"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":[0.002482774,0.002105804,0.02875097,0.003762091,0.0001261404,0.0004953166,0.001809183,0.0006518245,0.009590789,0.002654466,0.6856449,0.2619257],"study_design_scores_gemma":[0.0009575591,0.001082236,0.3279969,0.001325283,0.0001791781,0.001534998,0.002210518,0.003370515,0.01330391,0.004169304,0.643634,0.000235564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1278088,0.001090578,0.01274045,0.0004710659,0.0003585024,0.009073696,0.8119083,0.006022264,0.03052638],"genre_scores_gemma":[0.086656,0.0006964582,0.03025103,0.0003539204,0.000181548,0.01943168,0.8480267,0.00115553,0.01324716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04220048,"threshold_uncertainty_score":0.1411747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5907812189468639,"score_gpt":0.6792687532089515,"score_spread":0.08848753426208766,"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."}}