{"id":"W3120872044","doi":"10.1080/10926488.2020.1843970","title":"Factors that Influence the Processing of Noun-Noun Metaphors","year":2021,"lang":"en","type":"article","venue":"Metaphor and Symbol","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noun; Linguistics; Interpretation (philosophy); Literal and figurative language; Noun phrase; Proper noun; Head (geology); Nominalization; Psychology; Literal (mathematical logic); Computer science; Artificial intelligence; Natural language processing; Communication; Philosophy; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001045316,0.0005636222,0.0004773019,0.0003206188,0.0004274099,0.002473803,0.0003247877,0.0007796152,0.005887523],"category_scores_gemma":[0.01654064,0.0004636679,0.0003168133,0.000352096,0.0007674134,0.002276591,0.0007634407,0.0009471456,0.0006327496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205018,"about_ca_system_score_gemma":0.0004332008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611797,"about_ca_topic_score_gemma":0.001418421,"domain_scores_codex":[0.9990016,0.0002169628,0.00007713951,0.000326976,0.0002248473,0.0001525601],"domain_scores_gemma":[0.993083,0.004550126,0.001140865,0.000329555,0.0005463248,0.0003501088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003519451,0.0003840258,0.03478397,0.0009259771,0.0000897486,0.000856948,0.008957989,0.0005797269,0.9272524,0.002862321,0.0007028363,0.0190845],"study_design_scores_gemma":[0.0003518556,0.002106386,0.8633344,0.000173725,0.0002726203,0.001588611,0.00670802,0.006669682,0.0972181,0.01457287,0.006788332,0.0002153445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904816,0.0002863343,0.002929086,0.000112193,0.00004812484,0.0001177981,0.0001610592,0.00004517846,0.005818568],"genre_scores_gemma":[0.9936,0.0001937285,0.004336909,0.00009956087,0.00002244567,0.0001422148,0.0002159119,0.0001370429,0.001252142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005887523,"threshold_uncertainty_score":0.01969576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03708951143398154,"score_gpt":0.3004676975241972,"score_spread":0.2633781860902157,"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."}}