{"id":"W4408595711","doi":"10.1016/j.tics.2025.02.003","title":"Studying memory narratives with natural language processing","year":2025,"lang":"en","type":"review","venue":"Trends in Cognitive Sciences","topic":"Topic Modeling","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; McGill University","funders":"Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Narrative; Cognitive science; Linguistics; Cognitive psychology; Natural (archaeology); Communication; History","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008400414,0.0004140717,0.0009362182,0.001321554,0.0003437905,0.0004351123,0.001621439,0.00009523043,0.00001567516],"category_scores_gemma":[0.0001172487,0.0002720452,0.0001245358,0.004195186,0.0004064896,0.0008390674,0.0004468249,0.0005357085,0.000004497711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008014008,"about_ca_system_score_gemma":0.0007943954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002021392,"about_ca_topic_score_gemma":0.0001238041,"domain_scores_codex":[0.9970021,0.0002872861,0.0004337602,0.001214939,0.0005795454,0.0004823772],"domain_scores_gemma":[0.9988233,0.0004666547,0.0002941915,0.0002726307,0.00009147477,0.0000517819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[9.21257e-7,0.00002317003,0.000008189892,0.000937495,0.00001375661,0.00004547504,0.00440032,0.000003796623,5.788979e-8,0.0001493696,0.000006437983,0.994411],"study_design_scores_gemma":[0.004985397,0.001764929,0.0003225135,0.7470801,0.001254017,0.0006922109,0.1064992,0.05371249,0.00005245514,0.001951508,0.07053293,0.0111522],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003444703,0.9673287,0.01008787,0.00005834311,0.0002810145,0.0002671848,0.000004712121,0.000119254,0.02181847],"genre_scores_gemma":[0.01481911,0.9371716,0.04115578,0.0002062811,0.0002322154,0.0003280282,0.0000218329,0.00003062464,0.006034561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9832588,"threshold_uncertainty_score":0.9999732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863071781277453,"score_gpt":0.4533976597653287,"score_spread":0.2670904816375834,"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."}}