{"id":"W2715194230","doi":"10.1075/fol.00029.god","title":"The semantics of evaluational adjectives","year":2019,"lang":"en","type":"article","venue":"Functions of Language","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subjectivity; Computer science; Identification (biology); Semantics (computer science); Relevance (law); Linguistics; Natural language processing; Sentiment analysis; Affect (linguistics); Semantic analysis (machine learning); Artificial intelligence; Psychology; Philosophy; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001277763,0.0004506323,0.0002932076,0.001889211,0.001071968,0.003223163,0.0005257828,0.0005124696,0.002689348],"category_scores_gemma":[0.004231174,0.0002835671,0.0005424878,0.001405655,0.003421088,0.004416787,0.001310144,0.0007236387,0.0005290849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131549,"about_ca_system_score_gemma":0.000440966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170262,"about_ca_topic_score_gemma":0.0006180942,"domain_scores_codex":[0.9981595,0.00106879,0.0001856168,0.0002586639,0.0002403641,0.00008715761],"domain_scores_gemma":[0.9985007,0.0006655788,0.0002074103,0.000160321,0.0004108853,0.00005512939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001283873,0.00002508232,0.001852782,0.0002640339,0.00002782223,0.000530368,0.009445843,0.000804431,0.007537554,0.9497585,0.001947227,0.02767796],"study_design_scores_gemma":[0.00003136544,0.00007309505,0.005693251,0.0001882582,0.00003290843,0.001057082,0.006991768,0.01315864,0.005239677,0.8858052,0.0816724,0.00005630863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3316207,0.002825032,0.5128531,0.003604982,0.0005004248,0.000199574,0.001253828,0.000870708,0.1462716],"genre_scores_gemma":[0.9710745,0.0001939851,0.02645328,0.0001133194,0.00007500654,0.00005354023,0.0002401917,0.00008165382,0.00171446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003223163,"threshold_uncertainty_score":0.009544611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759149230087086,"score_gpt":0.3082834724985969,"score_spread":0.290691980197726,"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."}}