{"id":"W2522331242","doi":"","title":"Transitive phrasal verbs with the particle \"out\": A lexicon-grammar analysis","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Transitive relation; Linguistics; Lexicon; FREAK; Table (database); Grammar; Artificial intelligence; Natural language processing; 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":[0.003343595,0.0003060465,0.000400722,0.0001340569,0.0003458032,0.0002482586,0.0008952479,0.0002436803,0.01579428],"category_scores_gemma":[0.0001786713,0.0002376741,0.0003341661,0.0005615673,0.0003544285,0.00007365947,0.0002780181,0.0008586869,0.0002591598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004947053,"about_ca_system_score_gemma":0.00012595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002365518,"about_ca_topic_score_gemma":0.003943523,"domain_scores_codex":[0.9915233,0.006693501,0.0003481553,0.0007458568,0.0002899202,0.0003992287],"domain_scores_gemma":[0.9955025,0.001041448,0.000389338,0.002105644,0.0008025572,0.0001584713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003203692,0.001503228,0.005260317,0.00008034431,0.005485353,0.0001294627,0.739951,0.0002674136,0.001548869,0.188741,0.002725579,0.05398715],"study_design_scores_gemma":[0.01795421,0.00003000709,0.4895536,0.004409679,0.01833526,0.0002833558,0.1158719,0.0497691,0.1313101,0.01273777,0.1500925,0.009652611],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5626427,0.004066093,0.2169722,0.01274249,0.0002799749,0.000699127,0.00008725214,0.0004105144,0.2020996],"genre_scores_gemma":[0.9817995,0.00002534171,0.002255999,0.001194227,0.00003561414,0.0001292554,0.000337883,0.00004420515,0.01417799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6240791,"threshold_uncertainty_score":0.9851054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969153000232668,"score_gpt":0.2596451516385845,"score_spread":0.2399536216362579,"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."}}