{"id":"W4411337060","doi":"10.15760/etd.3879","title":"Lexical Choices in War Headlines: A Case Study","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; History; Literature; Art; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002032232,0.0006735598,0.000497176,0.003829279,0.005889644,0.002519649,0.0008409502,0.002215679,0.002419713],"category_scores_gemma":[0.01367963,0.0005150675,0.0003873472,0.005245978,0.003216746,0.002305634,0.001708238,0.001140984,0.0004719878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003180953,"about_ca_system_score_gemma":0.0009252592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0232227,"about_ca_topic_score_gemma":0.06175413,"domain_scores_codex":[0.9964991,0.00204006,0.0002823587,0.0002559456,0.0005681319,0.0003543683],"domain_scores_gemma":[0.9874949,0.009518011,0.001371428,0.0004352292,0.0007774524,0.0004030225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004260611,0.0007033216,0.08329643,0.000641184,0.00003827792,0.1028672,0.7595694,0.0002875562,0.008047771,0.0036586,0.003046879,0.03741722],"study_design_scores_gemma":[0.00007381697,0.0004311442,0.09092912,0.0004540964,0.00008007378,0.05993185,0.7820927,0.001395453,0.008426284,0.002223895,0.05383902,0.0001225478],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940323,0.0003109541,0.0007295596,0.0004528787,0.00001899765,0.0000841941,0.0001792458,0.00001598805,0.004175981],"genre_scores_gemma":[0.9928553,0.0006836439,0.002466195,0.0002005236,0.00004445339,0.0001169655,0.0002614284,0.00004286656,0.003328593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0232227,"threshold_uncertainty_score":0.04617506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280554313048279,"score_gpt":0.2956720247828414,"score_spread":0.2676165934780135,"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."}}