{"id":"W7099168522","doi":"","title":"Fluency And Use Of Segmental Dialect Features In The Acquisition Of A Second Language (french) By English Speakers","year":2007,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fluency; Second language; Vowel; Duration (music); First language; Second-language acquisition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004251042,0.0002784602,0.0001692146,0.000674799,0.0003448461,0.0008215726,0.0001422029,0.0002883383,0.000907621],"category_scores_gemma":[0.002122696,0.0001217687,0.0001716954,0.0001950862,0.0004925492,0.0002409475,0.000254592,0.0001696775,0.0001902531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004868532,"about_ca_system_score_gemma":0.0004180114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1138377,"about_ca_topic_score_gemma":0.1219344,"domain_scores_codex":[0.9997266,0.00004620562,0.00001636969,0.00005645207,0.00007037524,0.00008399422],"domain_scores_gemma":[0.9988325,0.0003363037,0.0002227321,0.00004750758,0.0003593592,0.0002015116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000749293,0.0001471572,0.9001946,0.00004175953,0.00007407001,0.0006235788,0.02668468,0.0001986349,0.05040154,0.00008070506,0.0001027078,0.02070136],"study_design_scores_gemma":[0.000005229726,0.0003042546,0.9940974,0.00000344093,0.00001461789,0.0004172654,0.003598898,0.0001321355,0.001138557,0.00001451437,0.0002613129,0.00001238325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999745,0.00002375218,0.0000242034,0.000002817344,3.99656e-7,0.00000136076,0.00001419703,0.000001054889,0.0001873681],"genre_scores_gemma":[0.9995869,0.00002304744,0.00005476682,0.000004284497,7.330966e-7,0.000002452233,0.000039139,0.000001033975,0.000287709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138377,"threshold_uncertainty_score":0.2263502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005910523191994426,"score_gpt":0.2084008532166577,"score_spread":0.2024903300246633,"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."}}