{"id":"W1990413489","doi":"10.1177/1367006914527019","title":"The categorization of the relative complementizer phrase in third-language English: A feature re-assembly account","year":2014,"lang":"en","type":"article","venue":"International Journal of Bilingualism","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Complementizer; Definiteness; Linguistics; Interlanguage; Referent; Computer science; Feature (linguistics); Noun phrase; Categorization; Modern Standard Arabic; Focus (optics); Second-language acquisition; Psychology; Artificial intelligence; Syntax; Noun; Arabic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339467,0.0001139922,0.0001762967,0.0001487194,0.0001440601,0.000187206,0.0005838685,0.000049058,0.00007887807],"category_scores_gemma":[0.003945714,0.00006718908,0.0001363801,0.00005858432,0.0001260837,0.0002074118,0.00007632271,0.0003013272,0.000003238267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182529,"about_ca_system_score_gemma":0.0001023191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005395712,"about_ca_topic_score_gemma":0.002901126,"domain_scores_codex":[0.9981969,0.0002031507,0.0006557934,0.0001062275,0.000711929,0.0001260076],"domain_scores_gemma":[0.9964733,0.0005826955,0.001018394,0.0001783152,0.001722515,0.00002478804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001021799,0.0001036652,0.001267645,0.00001075261,0.0001878723,0.0000115658,0.2492162,0.0001534083,0.0006316573,0.7462986,0.0007015005,0.001314906],"study_design_scores_gemma":[0.007608849,0.0004137742,0.01754561,0.00138448,0.0004321668,0.00008556479,0.1491523,0.009314684,0.0105858,0.6524851,0.1501547,0.0008370352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444689,0.0002257035,0.001279125,0.02801937,0.01431756,0.0002797957,0.00005261925,0.000019251,0.01133772],"genre_scores_gemma":[0.9961207,0.00001808859,0.0001938437,0.0002501379,0.002825022,0.000002049098,0.0000105055,0.00001381962,0.000565827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1494532,"threshold_uncertainty_score":0.4723674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696740423243186,"score_gpt":0.274366349945441,"score_spread":0.2573989457130091,"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."}}