{"id":"W2399696702","doi":"10.3968/8403","title":"Online Meaning Construction of Chinese Net Words From Japanese: On the Basis of Conceptual Blending Theory","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":"Scope (computer science); Meaning (existential); Perspective (graphical); Net (polyhedron); Context (archaeology); Linguistics; Sociology; Computer science; Epistemology; Artificial intelligence; History; Mathematics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008660107,0.0005747139,0.0002815559,0.001692954,0.002329189,0.003416074,0.0005029895,0.0005433896,0.00441863],"category_scores_gemma":[0.003264284,0.0002468828,0.0005629451,0.001567699,0.005249112,0.01185719,0.002865879,0.0008757818,0.0002445835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526528,"about_ca_system_score_gemma":0.001260079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004083679,"about_ca_topic_score_gemma":0.004329095,"domain_scores_codex":[0.9992156,0.0003165914,0.00007609383,0.0001445207,0.0001543803,0.00009280763],"domain_scores_gemma":[0.9991052,0.0004095596,0.0001256063,0.0001130779,0.0001683999,0.00007806769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001265727,0.00005986974,0.01441905,0.0005408922,0.00005030289,0.00193696,0.3211539,0.0007092716,0.01020894,0.580386,0.001368079,0.0690401],"study_design_scores_gemma":[0.00006981321,0.0001768718,0.03949131,0.0006086143,0.0003261417,0.002670665,0.3224832,0.01815836,0.006922717,0.5199471,0.08896787,0.0001773469],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7663589,0.001210049,0.1015645,0.00183352,0.0001700788,0.0001400753,0.0001613178,0.0001188137,0.1284427],"genre_scores_gemma":[0.9847742,0.0002637889,0.01215715,0.00006838572,0.00001734082,0.00006731708,0.0001052078,0.00003277389,0.002513753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00441863,"threshold_uncertainty_score":0.01478183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702681727483595,"score_gpt":0.3100257417297269,"score_spread":0.292998924454891,"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."}}