{"id":"W2893051628","doi":"10.23977/aetp.2018.21021","title":"A Preliminary Study on the identification, Evolution and Protection of Historical Geographic Names in China","year":2018,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Literature, Language, and Rhetoric Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); China; Geography; Toponymy; Genealogy; History; Archaeology; Biology; Ecology","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":[0.001844781,0.0001651205,0.0001881712,0.00189397,0.002069743,0.0009320937,0.0005055551,0.000304543,0.003531274],"category_scores_gemma":[0.003627997,0.0001771541,0.0002148353,0.00340782,0.001019779,0.00208473,0.0008261502,0.0004582605,0.0001882849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118731,"about_ca_system_score_gemma":0.00345189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05068181,"about_ca_topic_score_gemma":0.1131776,"domain_scores_codex":[0.9992397,0.0001691286,0.00007633531,0.0001492587,0.0001795048,0.0001860491],"domain_scores_gemma":[0.9973507,0.0006131766,0.0007452878,0.0001639395,0.0007538926,0.0003729294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005043946,0.00008598693,0.8720255,0.0001411847,0.00002489055,0.001004516,0.07774264,0.0001293102,0.001177924,0.004376685,0.0009079935,0.04233298],"study_design_scores_gemma":[0.000003099846,0.00005749229,0.9626258,0.00003427385,0.000027072,0.0001724168,0.02977645,0.0003599837,0.0002819313,0.0003658345,0.006282656,0.00001298376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971668,0.0001539915,0.0001049822,0.0001865157,0.000005696102,0.00001039577,0.0000452228,0.000001896436,0.002324431],"genre_scores_gemma":[0.9976178,0.0001653189,0.0001849564,0.00002878267,0.000005554132,0.000006371173,0.00009565992,0.000001609705,0.001893887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05068181,"threshold_uncertainty_score":0.1007736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363250935644356,"score_gpt":0.3527735462575751,"score_spread":0.3391410369011316,"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."}}