{"id":"W2503313117","doi":"10.1075/clscc.2.03ric","title":"“Our language is very literal”","year":2012,"lang":"en","type":"book-chapter","venue":"Cognitive linguistic studies in cultural contexts","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Literal (mathematical logic); Linguistics; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003221613,0.0008600684,0.001182512,0.0002510526,0.0001845179,0.00005632903,0.0002703243,0.0005460849,0.00223695],"category_scores_gemma":[0.00184693,0.0006966321,0.0003980246,0.00008845375,0.0003869428,0.0000850302,0.000227297,0.0009756999,0.002651074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183076,"about_ca_system_score_gemma":0.00003319783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007984149,"about_ca_topic_score_gemma":0.0001012288,"domain_scores_codex":[0.9970431,0.0001407779,0.0007749873,0.0009048742,0.0003903903,0.0007459017],"domain_scores_gemma":[0.997155,0.0006344165,0.0004368238,0.0003691363,0.001250431,0.0001541668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00107758,0.0003642041,0.0005472209,0.0008053822,0.006533794,0.005443256,0.5647538,2.601896e-8,0.00005032326,0.1033051,0.0478943,0.269225],"study_design_scores_gemma":[0.01609359,0.001434291,0.006557859,0.02192593,0.007596594,0.0007382541,0.3396238,0.000002558655,0.0003778161,0.09472349,0.502051,0.00887479],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003933982,0.2103219,0.00001137786,0.00006201569,0.006507989,0.0007646835,0.0006231231,0.0001325373,0.7776424],"genre_scores_gemma":[0.576173,0.001470983,0.00001967858,0.001634379,0.003834356,0.0001229957,0.0002978333,0.00008306308,0.4163637],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.572239,"threshold_uncertainty_score":0.9995485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09758010080061391,"score_gpt":0.4002407786393621,"score_spread":0.3026606778387482,"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."}}