{"id":"W2013584517","doi":"10.1353/lan.2011.0071","title":"Benefactives and malefactives: Typological perspectives and case studies. Ed. by Fernando Zúñiga and Seppo Kittilä. (Typological studies in language 92.) Amsterdam: John Benjamins, 2010. Pp. x, 440. ISBN 9789027206732. $158 (Hb).","year":2011,"lang":"en","type":"article","venue":"Language","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Polysemy; Section (typography); Linguistics; Interpretation (philosophy); Subject (documents); Verb; Construct (python library); Philosophy; Epistemology; Computer science","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":[0.004719397,0.001926649,0.001557652,0.006484982,0.003274873,0.01176527,0.002352217,0.003541317,0.02585927],"category_scores_gemma":[0.006301011,0.001135204,0.0007772812,0.01379627,0.009833282,0.01998806,0.004202376,0.004983002,0.009214963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005213798,"about_ca_system_score_gemma":0.003567514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005535288,"about_ca_topic_score_gemma":0.00926144,"domain_scores_codex":[0.9958518,0.002408953,0.000243151,0.0004062495,0.0008597341,0.0002302064],"domain_scores_gemma":[0.995104,0.003653326,0.0003366704,0.0001430056,0.0005300422,0.0002330109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005954791,0.00005085918,0.0003619985,0.003050685,0.00002232923,0.0004363922,0.02168138,0.000243849,0.0002676552,0.1655341,0.6583024,0.1499887],"study_design_scores_gemma":[0.000006053599,0.00001098259,0.0004467533,0.002952184,0.000006063757,0.0003774823,0.009435385,0.00004749348,0.00007136044,0.03690476,0.9497226,0.00001893269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009748309,0.8890361,0.002980082,0.02944464,0.005375398,0.0000517122,0.0001728494,0.00005923216,0.07190525],"genre_scores_gemma":[0.03040454,0.8169248,0.006916438,0.008762011,0.005617886,0.0005250445,0.0006542721,0.0003555825,0.1298396],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02585927,"threshold_uncertainty_score":0.08650786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05335096042087045,"score_gpt":0.3461748244381065,"score_spread":0.292823864017236,"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."}}