{"id":"W2140257254","doi":"10.1002/acp.1275","title":"Memory fragments as components of autobiographical knowledge","year":2006,"lang":"en","type":"article","venue":"Applied Cognitive Psychology","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"University of Toronto","keywords":"Autobiographical memory; Episodic memory; Psychology; Narrative; Context (archaeology); Cognitive psychology; Event (particle physics); Memory errors; Semantic memory; Childhood memory; Cognition; Developmental psychology; Recall; History; Neuroscience; Linguistics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003358837,0.0003351123,0.0005335935,0.0005023972,0.0001267679,0.00001386051,0.0003873367,0.0004111215,0.003853466],"category_scores_gemma":[0.00001084728,0.000354391,0.0002122307,0.000540455,0.0006926194,0.00004023351,0.00006541247,0.0003938847,0.003225812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001916366,"about_ca_system_score_gemma":0.00002115241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365507,"about_ca_topic_score_gemma":0.00005805621,"domain_scores_codex":[0.9975424,0.0002554568,0.0005940942,0.0007722488,0.0002223998,0.0006133933],"domain_scores_gemma":[0.9987578,0.0002336005,0.0002615019,0.0004632441,0.0001745039,0.000109294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.008896254,0.03081114,0.07049183,0.0001728993,0.003928844,0.0004601495,0.006928586,0.000001703894,0.1237131,0.4018233,0.08108153,0.2716907],"study_design_scores_gemma":[0.01060227,0.0006371276,0.8893661,0.0000468919,0.0002196041,0.00009953859,0.0009684258,0.000001638841,0.00739799,0.07658234,0.01333316,0.0007448911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.534254,0.0003731982,0.0004264976,0.00008538984,0.001254509,0.0004031687,0.00003829983,0.00008189201,0.4630831],"genre_scores_gemma":[0.9954674,0.00003394498,0.00007351284,0.001282203,0.0003874581,0.0002037378,0.0002036652,0.00005902698,0.002289108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8188743,"threshold_uncertainty_score":0.9998908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542121844009302,"score_gpt":0.3486233046940939,"score_spread":0.3232020862540008,"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."}}