{"id":"W4401218643","doi":"10.1037/mac0000186","title":"Sensitization instructions can reduce the misinformation effect and improve the eyewitness confidence–accuracy relationship.","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Research in Memory and Cognition","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Warwick; University of Exeter; University of Portsmouth","keywords":"Misinformation; Psychology; Eyewitness identification; Eyewitness testimony; Eyewitness memory; Sensitization; Social psychology; Cognitive psychology; Computer science; Psychotherapist; Computer security; Data mining; Recall","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002965103,0.00007891459,0.00009742576,0.0002354462,0.0006463522,0.0004295329,0.0001173587,0.00005635344,0.00001111111],"category_scores_gemma":[0.001223262,0.00004263793,0.00002199535,0.0006716172,0.0004242827,0.0006515105,0.00003787624,0.0007564105,0.000004561905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000288426,"about_ca_system_score_gemma":0.0001374967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000904854,"about_ca_topic_score_gemma":0.000007477151,"domain_scores_codex":[0.998596,0.0003085962,0.0003274762,0.0001462266,0.0004634163,0.0001582996],"domain_scores_gemma":[0.996445,0.003127826,0.00012684,0.00009014663,0.0001575558,0.00005265882],"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":[0.0008836745,0.00005056378,0.0001325652,0.001147354,0.00002829282,0.00005744892,0.01132484,0.0007153506,0.531112,0.07404912,0.0003808519,0.3801179],"study_design_scores_gemma":[0.001598668,0.0006265371,0.006344166,0.001149306,0.0001000937,0.001657171,0.01471453,0.01424043,0.6479197,0.3103585,0.0009905718,0.0003004193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911478,0.0002769962,0.0001465085,0.004362478,0.0002516165,0.0004456499,0.000004512254,0.000008845061,0.003355562],"genre_scores_gemma":[0.9988981,0.0006662696,0.0000152789,0.0001520559,0.0001915848,0.00002515421,0.000001616112,0.00000553048,0.00004434201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798175,"threshold_uncertainty_score":0.4971285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434329459144825,"score_gpt":0.366410935465432,"score_spread":0.3020676408739837,"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."}}