{"id":"W2348141889","doi":"","title":"Preposition \"Toward\" in Sentence Abbreviation Usage Brief Analysis","year":2010,"lang":"en","type":"article","venue":"Journal of Weifang University","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adverb; Adjective; Quarter (Canadian coin); Verb; Complement (music); Sentence; Linguistics; Character (mathematics); Word (group theory); Computer science; Natural language processing; Artificial intelligence; Noun; Mathematics; Philosophy; History; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113546,0.00005217389,0.0001366985,0.0003909841,0.0001246094,0.00003552005,0.00009710246,0.0000243447,0.0003906432],"category_scores_gemma":[0.00002021444,0.00004578686,0.0001748681,0.0001726572,0.00008432342,0.0003917525,0.00001861396,0.0001919185,0.000001862938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002504697,"about_ca_system_score_gemma":0.00001607431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005479345,"about_ca_topic_score_gemma":0.005277566,"domain_scores_codex":[0.9995657,0.00004291289,0.0001301586,0.00006229909,0.0001223052,0.00007662814],"domain_scores_gemma":[0.9995261,0.00003357468,0.0001981512,0.00006119679,0.0001502719,0.00003065722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005425592,0.0008413829,0.4325926,0.0001352202,0.002918232,0.001340486,0.4254903,0.0002438727,0.005233791,0.1178445,0.003083455,0.009733709],"study_design_scores_gemma":[0.002082069,0.0003181549,0.7898001,0.0001466413,0.001910981,0.00004864631,0.08184151,0.0003632362,0.0006811566,0.001091992,0.1212506,0.0004648611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801551,0.00007098785,0.0004068432,0.0002485959,0.0002356409,0.00003109544,0.000008132765,0.000008047899,0.01883562],"genre_scores_gemma":[0.9990335,0.0000390382,0.0001305063,0.00004127507,0.0001725759,3.185699e-8,0.000002124272,0.000001742622,0.0005792822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3572076,"threshold_uncertainty_score":0.4277269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093955124289521,"score_gpt":0.1995730283376403,"score_spread":0.1886334770947452,"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."}}