{"id":"W2171498092","doi":"","title":"The Characteristics of Phrasal Verbs in Marine Engineering English","year":2010,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; Feature (linguistics); Key (lock); Natural language processing; Artificial intelligence; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268541,0.0002396252,0.0002440615,0.002740789,0.0009187327,0.002594295,0.0003234084,0.0004166442,0.003437014],"category_scores_gemma":[0.008361079,0.0002349433,0.00024928,0.003435141,0.002391127,0.004477466,0.001292872,0.0006023352,0.000368428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707151,"about_ca_system_score_gemma":0.0004063242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013823,"about_ca_topic_score_gemma":0.001019402,"domain_scores_codex":[0.9981297,0.0009451772,0.0003206873,0.0002124979,0.0002954555,0.00009659931],"domain_scores_gemma":[0.989044,0.007899495,0.001388856,0.000558834,0.0009501387,0.0001586422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006973982,0.0001385565,0.09206115,0.00200996,0.0001630049,0.003592309,0.213865,0.0007174741,0.07930591,0.4595337,0.003944422,0.1439712],"study_design_scores_gemma":[0.0001782101,0.0004943648,0.4267446,0.001213951,0.0003435458,0.02441087,0.148304,0.007241855,0.02151043,0.2124546,0.1568545,0.0002491092],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104072,0.002546523,0.01852935,0.0009753536,0.00006652751,0.00007764625,0.0006706039,0.0001299729,0.06659678],"genre_scores_gemma":[0.997086,0.0002971835,0.001569929,0.00004380495,0.00002439464,0.00002477053,0.000241852,0.00003762989,0.0006744018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003437014,"threshold_uncertainty_score":0.01149797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00800140147627697,"score_gpt":0.2345706049911271,"score_spread":0.2265692035148501,"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."}}