{"id":"W3015801927","doi":"10.36227/techrxiv.12049374.v1","title":"Utilizing Blockchain Technology in Social Media Bot Identification","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Blockchain; Identification (biology); Computer science; Selection (genetic algorithm); The Internet; Social media; Artificial intelligence; Machine learning; Feature (linguistics); Feature selection; Data science; Internet privacy; Computer security; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003233028,0.0005003051,0.0007985891,0.002066281,0.001499584,0.001747986,0.0009553814,0.001747647,0.004530431],"category_scores_gemma":[0.01081573,0.0004282413,0.0004084083,0.001635553,0.001841611,0.005104899,0.002843659,0.001271299,0.00202316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008496438,"about_ca_system_score_gemma":0.001415033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780994,"about_ca_topic_score_gemma":0.002376398,"domain_scores_codex":[0.9974413,0.001230375,0.00009010304,0.0002956727,0.0006735961,0.0002689698],"domain_scores_gemma":[0.992305,0.004108941,0.0006622318,0.001769538,0.0008238991,0.0003304026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007448997,0.0006121522,0.01324734,0.0003805528,0.0001267001,0.00137165,0.001295611,0.1920851,0.03829627,0.3250096,0.007291804,0.4195383],"study_design_scores_gemma":[0.00004018232,0.0001403957,0.0008554526,0.00005490884,0.00001689004,0.0003078531,0.0001343704,0.8080598,0.01058538,0.1725694,0.007193014,0.00004231089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05765945,0.0004942867,0.9315679,0.0009478179,0.0001100276,0.0002661053,0.000189833,0.0008705217,0.007894039],"genre_scores_gemma":[0.8151687,0.0007356688,0.1753636,0.0001922884,0.0001454568,0.0002774985,0.0003032904,0.0001070406,0.00770653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004530431,"threshold_uncertainty_score":0.01709813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837809758225099,"score_gpt":0.2795303673043202,"score_spread":0.2311522697220693,"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."}}