{"id":"W3046946563","doi":"10.31410/itema.2019.241","title":"WHAT DRIVES THE BELIEFS IN BITCOIN? – SURVEY RESULTS","year":2019,"lang":"en","type":"article","venue":"International Scientific Conference ITEMA. Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Masarykova Univerzita","keywords":"Overconfidence effect; Quarter (Canadian coin); Currency; Variety (cybernetics); Affect (linguistics); Ordered probit; Period (music); Sample (material); Probit model; Data collection; Population; Econometrics; Economics; Marketing; Psychology; Business; Computer science; Monetary economics; Geography; Demography; Statistics; Social psychology; Mathematics; Artificial intelligence; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.00386068,0.0002157362,0.0004155229,0.0009656317,0.0003753616,0.00156362,0.0004027404,0.0007615827,0.006473244],"category_scores_gemma":[0.0252573,0.000193697,0.0003722338,0.001586704,0.0004936982,0.001351439,0.000551355,0.00112016,0.00190702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636169,"about_ca_system_score_gemma":0.00042057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266121,"about_ca_topic_score_gemma":0.003071796,"domain_scores_codex":[0.9978244,0.00108266,0.0002142447,0.00022856,0.0004084206,0.0002416593],"domain_scores_gemma":[0.9452971,0.03490546,0.01088461,0.00216579,0.004877666,0.001869419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003682555,0.000523148,0.9766124,0.0001558959,0.0001831117,0.00008209168,0.001068979,0.0009581851,0.0001766325,0.0008380805,0.002068036,0.01696511],"study_design_scores_gemma":[0.00004023683,0.0004485797,0.9802524,0.0002034035,0.0001424552,0.0003260348,0.004901063,0.006299546,0.0004386569,0.001721288,0.005184016,0.0000423717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931509,0.0006495597,0.000585439,0.0003540617,0.00001031569,0.00003823361,0.001493981,0.000004899717,0.003712609],"genre_scores_gemma":[0.9976674,0.0003422321,0.0001793355,0.0000610031,0.0000183084,0.00002694499,0.0009314196,0.000004375691,0.0007690627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006473244,"threshold_uncertainty_score":0.02165514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007650493624060997,"score_gpt":0.2221802240868398,"score_spread":0.2145297304627788,"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."}}