{"id":"W4200061693","doi":"10.1101/2021.12.22.473803","title":"Taking stock of the past: A psychometric evaluation of the Autobiographical Interview","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Identity, Memory, and Therapy","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Concordia University; McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autobiographical memory; Psychology; Recall; Episodic memory; Internal consistency; Reliability (semiconductor); Cognitive psychology; Trait; Confirmatory factor analysis; Developmental psychology; Psychometrics; Clinical psychology; Cognition; Structural equation modeling; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02437517,0.0003976219,0.0004786421,0.002129671,0.0005325843,0.001159236,0.0009240254,0.0006282583,0.00127566],"category_scores_gemma":[0.04509727,0.0003491241,0.0007866117,0.001415232,0.0008190918,0.001081827,0.00186492,0.001205568,0.0003719206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007940521,"about_ca_system_score_gemma":0.001082542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313023,"about_ca_topic_score_gemma":0.001626722,"domain_scores_codex":[0.9904464,0.00536422,0.001227494,0.0005082266,0.002200769,0.0002529014],"domain_scores_gemma":[0.9594532,0.02449527,0.005684197,0.002042409,0.006744782,0.001580153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001483271,0.001643542,0.8249764,0.0003988528,0.0002975226,0.0001765337,0.01372149,0.001374616,0.002016591,0.001131111,0.001773283,0.1510067],"study_design_scores_gemma":[0.0002491567,0.004309769,0.9713926,0.0002709315,0.0001324813,0.0005828143,0.008087696,0.006447498,0.001584202,0.001215978,0.005642157,0.00008454418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913476,0.0004207896,0.003374362,0.0001968929,0.00007369879,0.001219512,0.0003562862,0.00003990612,0.002970909],"genre_scores_gemma":[0.9880895,0.000416119,0.007745306,0.0001622018,0.00004843649,0.001890473,0.0008075798,0.00002816949,0.0008121393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02437517,"threshold_uncertainty_score":0.1289098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620371346878504,"score_gpt":0.3140482266821527,"score_spread":0.2520110919943023,"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."}}