{"id":"W1560622510","doi":"10.1007/978-94-010-0291-2_5","title":"The l2 acquisition of morphosyntactic and semantic properties of the aspectual tenses preterite and imperfect","year":2002,"lang":"en","type":"book-chapter","venue":"Studies in theoretical psycholinguistics","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Linguistics; Romance languages; Imperfect; Germanic languages; Computer science; Semantics (computer science); Meaning (existential); Variation (astronomy); German; Psychology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008084272,0.0002763802,0.0002098213,0.0003449048,0.0003960615,0.001616531,0.0004225965,0.0006098122,0.004660604],"category_scores_gemma":[0.003387814,0.0005305432,0.000168729,0.0003353485,0.001272606,0.002849068,0.0009507861,0.001588518,0.0009945546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004694021,"about_ca_system_score_gemma":0.0005981638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003124767,"about_ca_topic_score_gemma":0.003152031,"domain_scores_codex":[0.9996055,0.0001004529,0.00001766829,0.0001285894,0.0001092802,0.00003862004],"domain_scores_gemma":[0.9980587,0.001132409,0.0002308497,0.0002678726,0.0002135528,0.00009653001],"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":[0.001719374,0.001066852,0.02892891,0.0003072121,0.00009148942,0.001847597,0.01351782,0.0009397921,0.6520049,0.136808,0.004565212,0.1582029],"study_design_scores_gemma":[0.0002187939,0.001342978,0.4684401,0.0001463199,0.0001355542,0.008511716,0.007472281,0.008673107,0.3507345,0.1040116,0.05008426,0.0002287109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684124,0.0001573032,0.002529943,0.0003315558,0.00002264999,0.00001095704,0.0002386358,0.00006012434,0.02823652],"genre_scores_gemma":[0.9908056,0.0001370183,0.001775973,0.0001634011,0.00001310374,0.00002237784,0.0002596001,0.0001094922,0.006713482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004660604,"threshold_uncertainty_score":0.01559126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04889184081800677,"score_gpt":0.273637539872848,"score_spread":0.2247456990548412,"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."}}