{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003608299,0.0001515783,0.0002126823,0.0004502215,0.00008963818,0.0001949805,0.001159631,0.0004514553,0.00001028229],"category_scores_gemma":[0.0002139929,0.0001684252,0.00006397539,0.0007617544,0.00003718022,0.00006773132,0.001189666,0.0007446923,0.00006164805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009880084,"about_ca_system_score_gemma":0.00008661133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006426257,"about_ca_topic_score_gemma":0.0001452442,"domain_scores_codex":[0.9985306,0.00006552401,0.0003337114,0.0006495745,0.000228968,0.0001916418],"domain_scores_gemma":[0.9992644,0.00006142499,0.0001629482,0.0004237139,0.00005195073,0.00003554456],"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":[0.00001520547,0.0001275628,0.001123997,0.0001839608,0.00005076515,0.00006195713,0.01262942,0.0004006604,0.02450805,0.7147225,0.0045332,0.2416427],"study_design_scores_gemma":[0.0002905201,0.00001914595,0.008375781,0.00006418976,0.00001182261,0.000008620568,0.0003662412,0.1641343,0.02000205,0.8052391,0.0009586982,0.0005295222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1219281,0.000345061,0.8098728,0.05347117,0.006463755,0.0006051582,0.000007124848,0.002670663,0.004636164],"genre_scores_gemma":[0.9930675,0.000008784225,0.00638641,0.0001297667,0.0003105864,0.00004465967,0.000006783786,0.000009786583,0.00003571075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8711394,"threshold_uncertainty_score":0.6868179,"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."}}