{"id":"W3207560465","doi":"10.1080/10489223.2021.1934685","title":"Learning embedded verb placement in Norwegian: Evidence for early overgeneralization","year":2021,"lang":"en","type":"article","venue":"Language Acquisition","topic":"Language Development and Disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Norwegian; Verb; Generalization; Word order; Linguistics; Complement (music); Focus (optics); Psychology; Computer science; Natural language processing; Cognitive psychology; Artificial intelligence; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002139704,0.0001140353,0.0001264411,0.0000932574,0.00006650787,0.00004433354,0.00007490749,0.00009465505,0.005401385],"category_scores_gemma":[0.0001421365,0.000123198,0.00005376818,0.000277686,0.00001117241,0.0001854778,0.00003046785,0.00008343864,0.0001360439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007410329,"about_ca_system_score_gemma":0.00003539059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001217911,"about_ca_topic_score_gemma":0.0001029562,"domain_scores_codex":[0.9989436,0.0001270868,0.0002121734,0.0003091834,0.00014691,0.0002609992],"domain_scores_gemma":[0.9995392,0.0001046803,0.00007090674,0.0001818751,0.00006488224,0.00003843216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002604074,0.001066232,0.2273388,0.0004278551,0.0003431143,0.00158696,0.5206821,0.003667054,0.1397879,0.01112527,0.02786845,0.0635022],"study_design_scores_gemma":[0.01833572,0.001048623,0.7763432,0.001024452,0.0002021716,0.00007197932,0.1452397,0.002310634,0.04547376,0.001153477,0.006496189,0.002300136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864107,0.001877475,0.006368161,0.0001795044,0.0004802694,0.0002832095,0.000005436531,0.00007352547,0.004321712],"genre_scores_gemma":[0.989163,0.00002524013,0.001039415,0.0007987274,0.0001644079,0.0001303764,0.0004318975,0.00002120728,0.008225745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5490044,"threshold_uncertainty_score":0.9955078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663064648922733,"score_gpt":0.3421883650153573,"score_spread":0.31555771852613,"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."}}