{"id":"W3141965143","doi":"10.29173/iasl7956","title":"Storytelling and Sustained Silent Reading in Foreign Language Acquisition: Evidence from Taiwan","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Reading (process); Foreign language; Bridge (graph theory); Class (philosophy); First language; Second-language acquisition; Factor (programming language); Linguistics; Computer science; Language acquisition; Pedagogy; Psychology; Mathematics education; Narrative; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000548988,0.0001849192,0.0002687112,0.0001115196,0.0003202189,0.0001062814,0.0001467859,0.0001797777,0.0003397122],"category_scores_gemma":[0.0007068572,0.0001871865,0.00003293127,0.0002877122,0.00006666859,0.000870601,0.0001215826,0.0004836624,0.00007097868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335364,"about_ca_system_score_gemma":0.000440174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048029,"about_ca_topic_score_gemma":0.0000713016,"domain_scores_codex":[0.9983065,0.00005720358,0.0004146706,0.0004917532,0.0002469581,0.0004829192],"domain_scores_gemma":[0.9984407,0.0003031573,0.0001683234,0.0001178356,0.0007937505,0.0001761871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001319943,0.00008723496,0.2065134,0.0004643636,0.00001938452,0.00003939519,0.7747855,0.000003184437,0.003017381,0.00363834,0.002198731,0.009101026],"study_design_scores_gemma":[0.0004346267,0.00007725905,0.02766204,0.002602358,0.00002220041,0.000005254147,0.9603467,0.0006009054,0.001291522,0.005122826,0.001504841,0.0003294556],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898701,0.001240153,0.0003979865,0.00116139,0.000246882,0.0002776096,0.00002526734,0.0001087228,0.006671923],"genre_scores_gemma":[0.9958249,0.0001781952,0.0007032162,0.0004459839,0.0003752705,0.00007114725,0.00004086808,0.00002103368,0.002339437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1855612,"threshold_uncertainty_score":0.7633243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908007652823,"score_gpt":0.3568365981555655,"score_spread":0.3077565216273355,"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."}}