{"id":"W4251768361","doi":"10.1075/sibil.52.09mer","title":"Cross-linguistic influence in scope ambiguity","year":2017,"lang":"en","type":"book-chapter","venue":"Studies in bilingualism","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scope (computer science); Ambiguity; Linguistics; Computer science; 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":[0.0009127833,0.0001373549,0.0001703761,0.0006206166,0.0002586384,0.001702712,0.0001993524,0.0002388248,0.004739629],"category_scores_gemma":[0.003586115,0.0001274641,0.0001042827,0.0004623014,0.001437772,0.0009506888,0.001456081,0.0005571927,0.0003016746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826945,"about_ca_system_score_gemma":0.0003479258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253524,"about_ca_topic_score_gemma":0.001603885,"domain_scores_codex":[0.9992151,0.0003021799,0.00003062963,0.0001374058,0.0002692565,0.00004548338],"domain_scores_gemma":[0.9964728,0.002490911,0.0003167079,0.0002861158,0.00028092,0.0001525447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000595475,0.0002095751,0.1835599,0.0007410793,0.0001018297,0.004911939,0.07317586,0.001460706,0.2330301,0.2076106,0.002248849,0.2923541],"study_design_scores_gemma":[0.0000472702,0.0002258282,0.7606022,0.0004396282,0.0001259169,0.006717852,0.01460428,0.004460927,0.04335298,0.1186927,0.05062084,0.0001095918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284152,0.001985447,0.00265439,0.000446139,0.00001846389,0.000007580899,0.00005245737,0.00004168338,0.1663788],"genre_scores_gemma":[0.9983811,0.0001827722,0.0003400108,0.00002681637,0.000007840961,0.000002180621,0.00001530346,0.00001530112,0.001028676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004739629,"threshold_uncertainty_score":0.01585567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015316925404614,"score_gpt":0.3656869174309007,"score_spread":0.2641552248904393,"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."}}