{"id":"W2776010839","doi":"10.3390/brainsci8010006","title":"Emotional Encoding Context Leads to Memory Bias in Individuals with High Anxiety","year":2017,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Encoding (memory); Psychology; Context (archaeology); Test (biology); Salient; Mindset; Cognitive psychology; Anxiety; Recognition memory; Episodic memory; Developmental psychology; Computer science; Cognition; Artificial intelligence; Neuroscience; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001618774,0.0001579333,0.0001964819,0.000195807,0.001245137,0.0007655398,0.001508624,0.0000457233,0.0002071612],"category_scores_gemma":[0.003593168,0.0001106862,0.00002956307,0.0005036678,0.001120222,0.001364892,0.0002101965,0.000130996,0.00009700963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002213978,"about_ca_system_score_gemma":0.0002237561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001991003,"about_ca_topic_score_gemma":0.0002890887,"domain_scores_codex":[0.997675,0.00009839101,0.0002466016,0.0007258274,0.0008150506,0.0004391153],"domain_scores_gemma":[0.9988252,0.000418759,0.0002153132,0.0003631129,0.00003972054,0.0001379248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003844222,0.0001457408,0.7936973,0.0000550519,0.00000376641,0.00004000717,0.004559581,0.001683036,0.1262478,0.0376035,0.003062298,0.03286343],"study_design_scores_gemma":[0.001153307,0.0007162491,0.5973095,0.0004296751,0.000005374161,0.00009033092,0.002299621,0.0003821089,0.3818829,0.004415877,0.01051959,0.0007954655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974241,0.00002297449,0.00003443355,0.008615769,0.0002697255,0.0002301549,0.00001229618,0.00003400568,0.01653963],"genre_scores_gemma":[0.9925581,0.00001484088,0.0007481494,0.005718132,0.00008842489,0.00002210922,3.175467e-7,0.000006311444,0.0008436106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2556351,"threshold_uncertainty_score":0.9576715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126504009379352,"score_gpt":0.3404695862984974,"score_spread":0.2139655769191454,"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."}}