{"id":"W2134634811","doi":"10.1017/s0142716412000446","title":"Comparing the effect of skewed and balanced input on English as a foreign language learners’ comprehension of the double-object dative construction","year":2012,"lang":"en","type":"article","venue":"Applied Psycholinguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Comprehension; Object (grammar); Set (abstract data type); Foreign language; Psychology; Computer science; Dative case; Linguistics; Natural language processing; Cognitive psychology; Artificial intelligence; Mathematics education; Programming language","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":[0.0005293822,0.0001838977,0.0003170372,0.00007160457,0.0001403451,0.00001546693,0.0001965869,0.0001149344,0.0005770436],"category_scores_gemma":[0.0002162959,0.0001150907,0.00007343532,0.0002075941,0.0002882172,0.00001686155,0.00005718069,0.0004172565,0.00002255408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000157029,"about_ca_system_score_gemma":0.000007759538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007457253,"about_ca_topic_score_gemma":0.000001861517,"domain_scores_codex":[0.9987715,0.0002442976,0.0003038476,0.0002190378,0.0002067262,0.0002545831],"domain_scores_gemma":[0.9983315,0.0006974122,0.0003374201,0.0005080367,0.00006677475,0.00005885958],"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":[0.008396066,0.0004609398,0.1032846,0.0003391759,0.0008976515,0.00001120938,0.3165426,0.0004534978,0.01672094,0.5257737,0.002027313,0.02509226],"study_design_scores_gemma":[0.0598739,0.003200076,0.4898944,0.001115631,0.001664497,0.0003882828,0.2888436,0.0008609849,0.1200987,0.002115374,0.02945971,0.002484804],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8132051,0.0004049449,0.00009829571,0.000007817692,0.0009435822,0.0004153223,0.000006253136,0.00003510706,0.1848835],"genre_scores_gemma":[0.9987406,0.000003285616,0.0001425907,0.0005070676,0.0004690801,0.00002586384,0.00001908276,0.00002434212,0.00006811234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5236583,"threshold_uncertainty_score":0.6318222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794414096672858,"score_gpt":0.3090378173542911,"score_spread":0.2910936763875625,"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."}}