{"id":"W2565796328","doi":"10.3968/9145","title":"Conceptualization of Sadness Metaphor in English","year":2016,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaphor; Sadness; Conceptualization; Literal and figurative language; Linguistics; Rhetoric; Psychology; Variety (cybernetics); Perception; Set (abstract data type); Epistemology; Anger; Social psychology; Philosophy; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457756,0.0001114878,0.0002594333,0.0001583843,0.00001672695,0.000008487006,0.00006035583,0.00009354359,0.0001566504],"category_scores_gemma":[0.0002472823,0.00006776745,0.00003223883,0.0003261891,0.0001436175,0.0001109002,0.00003221316,0.00008417655,0.000003162539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000145712,"about_ca_system_score_gemma":0.000004732024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003203714,"about_ca_topic_score_gemma":0.000152259,"domain_scores_codex":[0.9991578,0.0001548763,0.0002311681,0.0002165216,0.00008050709,0.0001591062],"domain_scores_gemma":[0.9995053,0.0001682628,0.00006365892,0.0001527592,0.00009067711,0.00001936825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001530336,0.0001230849,0.009153505,0.0001319788,0.0001309301,0.0001751072,0.9282849,8.999827e-8,0.002406507,0.0283578,0.001517388,0.02956571],"study_design_scores_gemma":[0.01410863,0.0006226634,0.09106766,0.003941878,0.000214564,0.00005254658,0.8463031,0.000002396165,0.009355509,0.0120251,0.0211193,0.001186611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978682,0.08824449,0.00002698846,0.0000462542,0.000683648,0.0001560414,0.00005221552,0.00002361841,0.01289854],"genre_scores_gemma":[0.9972074,0.0006702275,0.00004954072,0.0001824506,0.0001677457,0.00004089401,0.0000168454,0.000008923337,0.00165599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09933918,"threshold_uncertainty_score":0.2763476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041959010834419,"score_gpt":0.331359979169669,"score_spread":0.3109403890613248,"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."}}