{"id":"W2189281354","doi":"10.5539/ijel.v5n6p141","title":"Metaphor in Azerbaijani and Russian Media Discourse","year":2015,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaphor; Expression (computer science); Linguistics; Function (biology); Nomination; Sociology; Political science; Philosophy; Computer science; Biology; Law; Cell biology","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":[0.001381975,0.0002950077,0.0003939937,0.001616007,0.003895979,0.004930982,0.0003888951,0.0009392729,0.001917108],"category_scores_gemma":[0.001889878,0.000258223,0.0002803106,0.001100212,0.0092425,0.002812824,0.002434699,0.001126755,0.0002415999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003127827,"about_ca_system_score_gemma":0.001276456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005177077,"about_ca_topic_score_gemma":0.003773226,"domain_scores_codex":[0.9984028,0.001165761,0.00004810926,0.00011676,0.0001380635,0.0001285436],"domain_scores_gemma":[0.9994822,0.0003058103,0.00009755891,0.00002542863,0.00004506711,0.0000438998],"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":[0.0001621009,0.00003536085,0.002269992,0.0003489696,0.00002200722,0.001523748,0.3604455,0.0004072954,0.007229595,0.6169744,0.001040953,0.009540186],"study_design_scores_gemma":[0.00009760124,0.0001896878,0.02642011,0.0009035639,0.0001295553,0.003494468,0.5269613,0.003214201,0.005627713,0.127817,0.3050027,0.0001419705],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963704,0.01454088,0.006491895,0.006135577,0.0004016044,0.00004442591,0.00009469242,0.00009916755,0.1758215],"genre_scores_gemma":[0.9977732,0.0004948786,0.0004063738,0.00003567774,0.00001208386,0.000006365812,0.000008810182,0.000006609494,0.001255813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005177077,"threshold_uncertainty_score":0.02269411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680282083811123,"score_gpt":0.3065305885559529,"score_spread":0.2797277677178417,"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."}}