{"id":"W4391449796","doi":"10.1075/ml.21015.nic","title":"Bilingual and monolingual adults’ lexical choice in storytelling","year":2023,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Storytelling; Linguistics; Natural language processing; Computer science; Psychology; Artificial intelligence; Narrative","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004119287,0.0001261628,0.0001380265,0.0001123014,0.0001070813,0.00002466941,0.0001302075,0.00008578715,0.0002857829],"category_scores_gemma":[0.00003877197,0.0000934421,0.00004419997,0.0002421576,0.0001051627,0.00005169118,0.00005781974,0.0002400389,0.0004933126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003187027,"about_ca_system_score_gemma":0.00001809145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007172805,"about_ca_topic_score_gemma":0.0004101743,"domain_scores_codex":[0.9989309,0.000146198,0.0001958268,0.0002828607,0.0001430988,0.0003011409],"domain_scores_gemma":[0.9995245,0.0001812259,0.00004476161,0.0001864082,0.00001093764,0.00005217331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002672148,0.001108477,0.04616529,0.0001509108,0.000323724,0.0005896935,0.3622378,0.00004682356,0.02685132,0.02741876,0.00283874,0.5295964],"study_design_scores_gemma":[0.02391771,0.00226691,0.5166498,0.0007366978,0.0003140914,0.0004847935,0.3392674,0.006950602,0.04332445,0.02752893,0.03569928,0.002859344],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920939,0.0007235571,0.000008857509,0.0002843523,0.0007204372,0.0002490367,0.00001297471,0.000120383,0.005786486],"genre_scores_gemma":[0.9977117,0.00003809706,0.00001643811,0.000345738,0.0003442748,0.00002583492,0.00003683949,0.00002052201,0.001460608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.526737,"threshold_uncertainty_score":0.63407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007564423927671,"score_gpt":0.3201593675195475,"score_spread":0.2900837232802708,"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."}}