{"id":"W6942092856","doi":"10.13284/j.cnki.rddl.20230929","title":"Advances and Prospects in Smart Border Studies Based on a Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Subject (documents); Border Security; Big data; Sustainable development; Key (lock)","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01379978,0.001009236,0.002795615,0.1856041,0.001988569,0.01271209,0.001456684,0.001387657,0.006800739],"category_scores_gemma":[0.04627044,0.0004239761,0.001962544,0.2581714,0.002078703,0.01250178,0.003215423,0.0009399903,0.001305921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465261,"about_ca_system_score_gemma":0.006342331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004969005,"about_ca_topic_score_gemma":0.006482502,"domain_scores_codex":[0.9861212,0.004121433,0.00269038,0.001628363,0.004876303,0.0005623091],"domain_scores_gemma":[0.9147325,0.06418795,0.008509809,0.002506123,0.009034178,0.001029484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001612093,0.0001607877,0.1035813,0.09076827,0.002035312,0.001141069,0.01178784,0.0015411,0.001544964,0.0683016,0.03564582,0.6833308],"study_design_scores_gemma":[0.00006759119,0.0001661262,0.2819209,0.06915545,0.004299708,0.002269248,0.03879649,0.006850987,0.002097903,0.05866438,0.5353108,0.0004004872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09364182,0.7932489,0.01277922,0.01545652,0.001120648,0.0004255197,0.01279508,0.0004688902,0.0700634],"genre_scores_gemma":[0.4461758,0.521534,0.0140007,0.001521242,0.001961101,0.0005908497,0.01176866,0.0001465489,0.002300985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8143959,"threshold_uncertainty_score":0.07298112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493258753762909,"score_gpt":0.5283932987885929,"score_spread":0.3790674234123019,"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."}}