{"id":"W4409064723","doi":"10.1037/pne0000360","title":"Memory for negative and positive emotional video clips.","year":2025,"lang":"en","type":"article","venue":"Psychology & Neuroscience","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CLIPS; Psychology; Cognitive psychology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002712625,0.0001641645,0.0001791385,0.0001654636,0.0005336782,0.00008569362,0.0004804394,0.00007066262,0.00002512284],"category_scores_gemma":[0.002180389,0.0001456742,0.00004914454,0.0006276487,0.00123164,0.0003978173,0.000110094,0.0001735642,0.0000123795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001110171,"about_ca_system_score_gemma":0.00007512147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003764468,"about_ca_topic_score_gemma":0.000001782015,"domain_scores_codex":[0.9980258,0.0001147825,0.0002437067,0.001060235,0.0001760046,0.0003794959],"domain_scores_gemma":[0.9987895,0.0006777699,0.0001069656,0.0002630959,0.00007268325,0.00008997203],"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":[0.0001596805,0.0001498583,0.0009248798,0.00003435742,0.000002040131,0.00001364512,0.000214628,0.00003023491,0.9555098,0.02540099,0.003651996,0.01390786],"study_design_scores_gemma":[0.002337885,0.00109432,0.2627729,0.0001098547,0.00003346634,0.0002350972,0.0001201652,0.002779585,0.6252353,0.08291106,0.02176161,0.0006087826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931236,0.0001516745,0.01200365,0.01347643,0.003383541,0.0009306167,0.00009788793,0.0001397647,0.03858038],"genre_scores_gemma":[0.9407663,0.0001324973,0.0004615407,0.05654839,0.00005291722,0.00006782129,6.409621e-7,0.000008294566,0.001961635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3302745,"threshold_uncertainty_score":0.5940424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912407491413909,"score_gpt":0.3751075972798307,"score_spread":0.3259835223656916,"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."}}