{"id":"W2077913970","doi":"10.1017/s0305000913000111","title":"Early word segmentation in infants acquiring Parisian French: task-dependent and dialect-specific aspects","year":2013,"lang":"en","type":"article","venue":"Journal of Child Language","topic":"Language Development and Disorders","field":"Psychology","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Text segmentation; Psychology; Segmentation; Linguistics; Speech segmentation; Task (project management); Word (group theory); Language acquisition; Market segmentation; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005022412,0.0003829676,0.0002317841,0.0004029999,0.0002140532,0.0004723533,0.0001962062,0.0002967276,0.001172085],"category_scores_gemma":[0.001856823,0.0001773733,0.0001687676,0.0001880133,0.000560985,0.0003313867,0.0003359845,0.0002778974,0.0001778126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006391875,"about_ca_system_score_gemma":0.0004668082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073111,"about_ca_topic_score_gemma":0.03516921,"domain_scores_codex":[0.9997492,0.00004934544,0.00001767277,0.00005712752,0.00005599998,0.00007064992],"domain_scores_gemma":[0.9990962,0.0004542144,0.0001443179,0.00006592018,0.0001318104,0.0001075284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001576695,0.0002108264,0.09618149,0.0002543847,0.00005565084,0.002447294,0.01134637,0.0007680706,0.8304068,0.0007490782,0.0002157887,0.05578757],"study_design_scores_gemma":[0.00001500706,0.00105263,0.9008979,0.00002350755,0.00006195476,0.001120572,0.002785417,0.0007603837,0.09171023,0.0002413345,0.001297064,0.00003411377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989712,0.00008584814,0.0002119862,0.000008080525,0.000001029584,0.000004420468,0.00003448853,0.00001313753,0.0006697592],"genre_scores_gemma":[0.9981585,0.0001387431,0.0006257477,0.00001532358,9.311838e-7,0.00002250332,0.0001108994,0.000009465919,0.0009178976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02073111,"threshold_uncertainty_score":0.04122084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006762771825017984,"score_gpt":0.2505928624631179,"score_spread":0.2438300906380999,"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."}}