{"id":"W7098229080","doi":"","title":"New Light Shed on Chinese Word Segmentation","year":2016,"lang":"en","type":"article","venue":"","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Word (group theory); Segmentation; Text segmentation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475738,0.0006167499,0.0008327569,0.003461854,0.003014418,0.007337594,0.0009471826,0.002004295,0.04090789],"category_scores_gemma":[0.005973511,0.0005083365,0.0006158089,0.005737757,0.005589064,0.01691123,0.002654092,0.002481287,0.004176035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111744,"about_ca_system_score_gemma":0.002170852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924481,"about_ca_topic_score_gemma":0.02561959,"domain_scores_codex":[0.9993413,0.0001688009,0.00003370675,0.000202678,0.0001367241,0.0001166994],"domain_scores_gemma":[0.9953009,0.002698166,0.0001968594,0.0008155999,0.000736123,0.0002523379],"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":[0.0002739796,0.0000310715,0.003415623,0.0005111008,0.00003905,0.0005638959,0.008346902,0.000588481,0.00280946,0.7694615,0.06390197,0.1500569],"study_design_scores_gemma":[0.00003021491,0.00003901846,0.01276799,0.0005512603,0.00005780291,0.0004529815,0.01107385,0.004390724,0.00250558,0.5657917,0.4022458,0.00009306475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1779123,0.08618414,0.04423413,0.1991627,0.01164702,0.00005647873,0.005206916,0.0008319914,0.4747644],"genre_scores_gemma":[0.8351536,0.0341239,0.01026506,0.01273701,0.01466426,0.00009294224,0.003812953,0.0007974887,0.08835276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04090789,"threshold_uncertainty_score":0.1368505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003300124142638076,"score_gpt":0.2249891584606397,"score_spread":0.2216890343180016,"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."}}