{"id":"W4389334738","doi":"10.55236/tuara.1344352","title":"Bibliometric Analysis of Articles on Web3","year":2023,"lang":"en","type":"article","venue":"The Universal Academic Research Journal","topic":"Web Application Security Vulnerabilities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Scope (computer science); China; Library science; Political science; Bibliometrics; Web of science; Geography; Regional science; Social science; Sociology; Computer science; Law; MEDLINE","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":[0.005347946,0.0008589706,0.001654735,0.1803322,0.001446747,0.006847026,0.0009130177,0.0006292033,0.00983227],"category_scores_gemma":[0.04300518,0.0002403716,0.001699954,0.2001015,0.000770433,0.004048308,0.001846721,0.000462554,0.002533992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364121,"about_ca_system_score_gemma":0.003396048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004180254,"about_ca_topic_score_gemma":0.004233298,"domain_scores_codex":[0.9856759,0.001726007,0.002491114,0.0007936058,0.008781978,0.0005313213],"domain_scores_gemma":[0.9496149,0.02843302,0.007944076,0.001286122,0.01189316,0.0008285859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006180302,0.0002659387,0.236896,0.03833669,0.002886296,0.002166607,0.007588686,0.002663176,0.005483586,0.01618946,0.0556555,0.63125],"study_design_scores_gemma":[0.00006831456,0.0003538241,0.6084228,0.007277389,0.002479096,0.003723222,0.01829462,0.005902661,0.005769134,0.01168837,0.3358083,0.0002122525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5627117,0.1209339,0.01194109,0.003976541,0.00171545,0.001762883,0.09157991,0.001482545,0.203896],"genre_scores_gemma":[0.8474906,0.0698661,0.01389102,0.0004177155,0.002461434,0.00170742,0.04762254,0.0003623313,0.01618079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8196678,"threshold_uncertainty_score":0.03289217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523953156303511,"score_gpt":0.413689170504088,"score_spread":0.2612938548737369,"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."}}