{"id":"W4281740548","doi":"10.5430/wjel.v12n5p263","title":"A Corpus-Based Study of Body-Part Terms in Verbal Phraseological Units in English and Albanian","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; Interpretation (philosophy); Context (archaeology); Head (geology); Natural language processing; Psychology; History; 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":[0.001493755,0.0001987693,0.0004248318,0.006469154,0.001816347,0.001167844,0.0004517512,0.0002960167,0.00236331],"category_scores_gemma":[0.007861558,0.0001586789,0.0001427538,0.006852469,0.001726396,0.001389284,0.001575667,0.0004688911,0.0003582534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000909939,"about_ca_system_score_gemma":0.0008401733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005558922,"about_ca_topic_score_gemma":0.01206367,"domain_scores_codex":[0.9986707,0.0005453926,0.0002076614,0.0001871135,0.0003107963,0.00007837638],"domain_scores_gemma":[0.9933262,0.004652802,0.0006396701,0.0003764774,0.0008895888,0.0001152606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003221703,0.0004555378,0.1058811,0.004059239,0.00007559589,0.006705331,0.6073862,0.000320363,0.03537875,0.008865035,0.004358958,0.2261918],"study_design_scores_gemma":[0.00004595081,0.0002763272,0.5985668,0.0007260334,0.0001111542,0.00619836,0.2809266,0.0008719012,0.007863379,0.001352006,0.1029866,0.0000749288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902743,0.001049325,0.001330519,0.000139704,0.00002518019,0.0001182732,0.0008325558,0.00001883598,0.006211381],"genre_scores_gemma":[0.9916882,0.0008699143,0.00361374,0.0000575842,0.00002707551,0.0002172929,0.002075558,0.00003304695,0.001417651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006469154,"threshold_uncertainty_score":0.01105309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512498897183135,"score_gpt":0.2412158529209642,"score_spread":0.2160908639491328,"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."}}