{"id":"W4232501908","doi":"10.31234/osf.io/3xcvu","title":"Reliability of the Language Environment Analysis (LENA) in French-English Bilingual Speech","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Language Development and Disorders","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word (group theory); Reliability (semiconductor); Linguistics; Population; Computer science; Psychology; Neuroscience of multilingualism; Natural language processing; Sociology; Demography","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":[0.007136884,0.0004817728,0.00039778,0.001241301,0.000705575,0.001190329,0.0003921311,0.0003879063,0.001179604],"category_scores_gemma":[0.02625698,0.0002616699,0.0002187531,0.0004742467,0.0006950056,0.0004009349,0.001095986,0.0002210203,0.0006544325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715501,"about_ca_system_score_gemma":0.0007653619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657246,"about_ca_topic_score_gemma":0.03076938,"domain_scores_codex":[0.9948255,0.002464697,0.0003841039,0.0009198862,0.001213737,0.000192088],"domain_scores_gemma":[0.9836192,0.008038154,0.002056805,0.001123042,0.004804761,0.0003582022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001997157,0.0000659504,0.7890988,0.0004297013,0.0002302442,0.000640952,0.01353274,0.0007144144,0.06029054,0.000234276,0.000684399,0.1320808],"study_design_scores_gemma":[0.00001699903,0.0003354664,0.9832372,0.00006835893,0.00007545515,0.0008824096,0.003031357,0.001791288,0.008929691,0.00009802017,0.001480016,0.0000537388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919472,0.0003202368,0.004664048,0.00004393217,0.00001815395,0.00004985293,0.0003302702,0.000125172,0.002501124],"genre_scores_gemma":[0.9956139,0.0001139038,0.003540476,0.0000287033,0.000009261224,0.00004454945,0.0002313708,0.00004331714,0.0003744847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657246,"threshold_uncertainty_score":0.03774387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009245103922810112,"score_gpt":0.2656486903118931,"score_spread":0.2564035863890829,"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."}}