{"id":"W2125764498","doi":"10.7202/019559ar","title":"Bilingual First Language Acquisition: Evidence from Montreal","year":2008,"lang":"en","type":"article","venue":"Diversité urbaine","topic":"Language Development and Disorders","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Linguistics; Code-mixing; Neuroscience of multilingualism; Psychology; Utterance; Confusion; Extant taxon; Prosody; Conversation; Competence (human resources); Code-switching; Developmental linguistics; Second-language acquisition; Markedness; Linguistic competence; Computer science; Communication; Comprehension approach; Natural language; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002197065,0.0007887829,0.0009993503,0.003321291,0.004017658,0.001677453,0.00111869,0.000575055,0.008963952],"category_scores_gemma":[0.006635872,0.0006578888,0.0003675153,0.0033874,0.001696345,0.001125279,0.001970292,0.0007121277,0.0007018085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006697288,"about_ca_system_score_gemma":0.007054136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.882653,"about_ca_topic_score_gemma":0.9412192,"domain_scores_codex":[0.998224,0.0003214363,0.0000935547,0.0004501845,0.0005182651,0.0003926291],"domain_scores_gemma":[0.9939746,0.001225443,0.001553841,0.0005408313,0.002176763,0.0005283983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002062637,0.0006723771,0.774811,0.00111323,0.0005272044,0.004735623,0.06891981,0.000327969,0.00690189,0.004841605,0.007111081,0.1279756],"study_design_scores_gemma":[0.00007832859,0.000290452,0.98295,0.000183383,0.000135455,0.001256891,0.004192909,0.0001118444,0.001090765,0.0002603079,0.00938655,0.00006312471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969987,0.004981896,0.000200088,0.0005074478,0.00003195878,0.00008619708,0.001461832,0.00003782697,0.02270577],"genre_scores_gemma":[0.9926857,0.002515284,0.000396718,0.0001567313,0.00001686581,0.00004619036,0.0005840928,0.00002679654,0.00357169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.117347,"threshold_uncertainty_score":0.2360761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169459709423943,"score_gpt":0.2556704846516965,"score_spread":0.233975887557457,"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."}}