{"id":"W4231922972","doi":"10.4324/9780203963159-9","title":"A model of destination-language acquisition: Application to male immigrants in Canada","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Computer science; Geography; Archaeology","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":[0.0006301846,0.0005147537,0.0005767266,0.001170045,0.00426868,0.003759878,0.001756033,0.001053907,0.01478591],"category_scores_gemma":[0.001536954,0.0002241241,0.0005713432,0.002281957,0.002541492,0.001573058,0.001196546,0.001234177,0.0006779465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02762864,"about_ca_system_score_gemma":0.03373494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544806,"about_ca_topic_score_gemma":0.9665557,"domain_scores_codex":[0.999637,0.00009924129,0.00000803822,0.00004294483,0.00005406457,0.0001587366],"domain_scores_gemma":[0.9993764,0.0001856969,0.00004530165,0.00002118586,0.0002377987,0.0001336906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005558972,0.0001092616,0.02112025,0.00006205835,0.00003136141,0.0004950669,0.008857056,0.01593886,0.0002091496,0.918196,0.009299167,0.02562624],"study_design_scores_gemma":[0.0001215427,0.0001877439,0.08600551,0.0003691648,0.0002912503,0.001142585,0.07188153,0.2452527,0.0006316601,0.494077,0.09985808,0.0001813102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4702537,0.002370258,0.04106759,0.01584005,0.0001272114,0.0002597769,0.001907467,0.000290712,0.4678833],"genre_scores_gemma":[0.9490834,0.001037118,0.005488953,0.0001949574,0.00001245059,0.00006270079,0.0001783944,0.00003711393,0.04390482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04551935,"threshold_uncertainty_score":0.2004608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342998526802245,"score_gpt":0.4017961443264466,"score_spread":0.3383661590584242,"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."}}