{"id":"W2111584513","doi":"10.5539/res.v7n9p1","title":"Types of Interlanguage Phraseological Correspondences (Based on English and Turkish Languages)","year":2015,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phraseology; Linguistics; Interlanguage; Turkish; Problem of universals; Meaning (existential); Computer science; Feature (linguistics); Psychology; 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":[0.001063362,0.0002970324,0.0002494589,0.005303575,0.0009336824,0.001918111,0.0005326033,0.0004136799,0.008775777],"category_scores_gemma":[0.005969109,0.0001303332,0.0003132226,0.007748498,0.002812277,0.005219301,0.001521644,0.0004801947,0.001156451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008380968,"about_ca_system_score_gemma":0.0007336829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193575,"about_ca_topic_score_gemma":0.001297581,"domain_scores_codex":[0.9980974,0.0007660647,0.0002567243,0.0003193061,0.0003959571,0.0001645145],"domain_scores_gemma":[0.998027,0.0008815333,0.0003848421,0.000293429,0.0003543739,0.00005872426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005636467,0.00008234541,0.04025542,0.004154191,0.0001459453,0.002963608,0.1108746,0.000228738,0.01005246,0.342708,0.005320081,0.4826511],"study_design_scores_gemma":[0.00006524386,0.0004710653,0.3324544,0.004166567,0.0003365117,0.01409805,0.2017027,0.001144517,0.007226849,0.1294948,0.3087155,0.0001238283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5944498,0.03389041,0.02533025,0.001449192,0.0004661324,0.00021608,0.001025811,0.0001806045,0.3429917],"genre_scores_gemma":[0.9906706,0.003244528,0.00269627,0.0001202919,0.0000368943,0.00006656229,0.0003667909,0.00003592949,0.002762155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008775777,"threshold_uncertainty_score":0.02935785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0757557209191064,"score_gpt":0.3173715763414182,"score_spread":0.2416158554223118,"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."}}