{"id":"W7093814193","doi":"","title":"Audiost@t, a tool for implementing reading aloud in oral French courses","year":2024,"lang":"fr","type":"article","venue":"","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Reading (process); Reading aloud; Read aloud; Qualitative research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159575,0.001534713,0.0004600995,0.001494556,0.0005020569,0.00166612,0.001526779,0.0009244318,0.0421509],"category_scores_gemma":[0.007576212,0.0007044332,0.000613177,0.0004678846,0.0003904475,0.001980847,0.001710139,0.001021764,0.01207456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503034,"about_ca_system_score_gemma":0.0008406402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002946927,"about_ca_topic_score_gemma":0.003627234,"domain_scores_codex":[0.9992403,0.000177944,0.0000666645,0.0002008167,0.0002206268,0.00009361352],"domain_scores_gemma":[0.9949322,0.003460067,0.0002373697,0.000474584,0.0005421931,0.0003536875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002603385,0.001042527,0.004835488,0.0007750473,0.00007995282,0.0008425093,0.002654638,0.001387039,0.07338694,0.002179283,0.05754761,0.8526656],"study_design_scores_gemma":[0.003328225,0.004456555,0.03928146,0.0007782104,0.000561298,0.003509219,0.003547235,0.1342026,0.3607295,0.01028383,0.4385664,0.0007554466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.06971419,0.0002257067,0.3084631,0.0003183155,0.0003078842,0.0009010093,0.003774982,0.5985763,0.01771853],"genre_scores_gemma":[0.3392556,0.0003431736,0.561605,0.0005602282,0.0001970342,0.001330675,0.008801327,0.03343322,0.05447373],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0421509,"threshold_uncertainty_score":0.1410087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345018818042292,"score_gpt":0.3878834183878723,"score_spread":0.3544332302074493,"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."}}