{"id":"W2197948521","doi":"10.1108/jfp-10-2014-0040","title":"Are two views better than one? Investigating three-quarter view facial composites","year":2015,"lang":"en","type":"article","venue":"Journal of Forensic Practice","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Witness; Suspect; Computer science; Recall; Identification (biology); Encoding (memory); Face (sociological concept); Facial recognition system; Artificial intelligence; Pattern recognition (psychology); Psychology","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":[0.003924516,0.0004063712,0.0003891602,0.0003844282,0.0003837232,0.001510585,0.0005091687,0.0007362692,0.005669529],"category_scores_gemma":[0.03713225,0.0003859464,0.0004592422,0.000221023,0.0008755303,0.002252263,0.0009812957,0.0007696247,0.0004641706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640925,"about_ca_system_score_gemma":0.0004332383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200593,"about_ca_topic_score_gemma":0.001491821,"domain_scores_codex":[0.9979024,0.0008487436,0.0001203443,0.0003406983,0.0006813307,0.0001065167],"domain_scores_gemma":[0.9724354,0.01983597,0.003242003,0.00247555,0.00161454,0.00039644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009374985,0.00119984,0.1127525,0.00187893,0.000272375,0.001909813,0.01606579,0.004000593,0.4695748,0.009994559,0.002669605,0.3703061],"study_design_scores_gemma":[0.0004946415,0.01289705,0.4908716,0.00130765,0.00158094,0.01293792,0.02920931,0.05534862,0.3476014,0.02234612,0.02493586,0.0004689044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803932,0.0004863333,0.01414797,0.0002821633,0.00006182966,0.00009432728,0.00009567164,0.00008658607,0.004351854],"genre_scores_gemma":[0.9844074,0.000268781,0.01420948,0.0001424717,0.0000187248,0.00002946147,0.0001032544,0.00004522393,0.0007750543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005669529,"threshold_uncertainty_score":0.02075511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990452117641435,"score_gpt":0.3641557496243292,"score_spread":0.1651105378601857,"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."}}