{"id":"W2079173744","doi":"10.5539/ijps.v5n1p45","title":"Unconscious Priming: Masked Primes Facilitate Change Detection and Change Identification Performance","year":2013,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Change detection; Change blindness; Priming (agriculture); Identification (biology); Psychology; Task (project management); Cognitive psychology; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007526109,0.0006749093,0.0005003874,0.0002565679,0.0002022301,0.0004708598,0.0005213276,0.0005815654,0.007859346],"category_scores_gemma":[0.004113088,0.0003780347,0.0001952514,0.0001448509,0.0005320617,0.001195577,0.0007545663,0.00106869,0.0008259955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729524,"about_ca_system_score_gemma":0.0003846516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589374,"about_ca_topic_score_gemma":0.0001808525,"domain_scores_codex":[0.9994492,0.0001263299,0.00004402924,0.0001726796,0.0001250307,0.00008271386],"domain_scores_gemma":[0.9974703,0.001463505,0.0004015456,0.0002585472,0.0001179889,0.0002882001],"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":[0.002584838,0.0009521975,0.0003060202,0.0001372811,0.000006678736,0.0001289899,0.0002450009,0.00004171536,0.9870238,0.0007460033,0.000117912,0.007709524],"study_design_scores_gemma":[0.0007302772,0.01202416,0.02834493,0.00006014012,0.00007350372,0.0009461942,0.0001414847,0.003467323,0.948904,0.002900008,0.002368627,0.00003939661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899872,0.0002661747,0.006190176,0.0001296174,0.0001530075,0.0001711694,0.00005026531,0.0001669169,0.002885484],"genre_scores_gemma":[0.9848981,0.0001895549,0.01076775,0.00018808,0.00008556958,0.0001912329,0.00008628595,0.0001124482,0.003480908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007859346,"threshold_uncertainty_score":0.02629215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3657650627178442,"score_gpt":0.4090895083628912,"score_spread":0.04332444564504701,"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."}}