{"id":"W4394883921","doi":"10.35737/sjccmrr/v12/i2/2022/172","title":"Classification of Various Factors That Have Caused Major Fluctuations in Cryptocurrency Markets","year":2022,"lang":"en","type":"article","venue":"SJCC Management Research Review","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fanshawe College","funders":"","keywords":"Cryptocurrency; Investment (military); Consumption (sociology); Process (computing); Computer science; Economics; Business; Data science; Computer security; Political science; Social science","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":[0.00711483,0.0006012302,0.0007540297,0.01521653,0.0007379439,0.003510274,0.0005976984,0.000849709,0.002989848],"category_scores_gemma":[0.01564936,0.0002077725,0.001287701,0.01563978,0.0006986487,0.002117514,0.0004771724,0.0006700308,0.0005611954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948869,"about_ca_system_score_gemma":0.004479839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006862637,"about_ca_topic_score_gemma":0.009283653,"domain_scores_codex":[0.9955174,0.0009738561,0.0008621718,0.0002873447,0.002000952,0.0003582082],"domain_scores_gemma":[0.9800826,0.008719095,0.004991684,0.000339794,0.005459461,0.0004073787],"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":[0.0007792434,0.0002961284,0.1430504,0.02919699,0.0009220384,0.001271324,0.003040182,0.003086163,0.003167931,0.02314416,0.01893198,0.7731134],"study_design_scores_gemma":[0.0001393591,0.0008606991,0.5738463,0.02866776,0.002970787,0.00238014,0.01301512,0.006280412,0.007025542,0.01326527,0.3513021,0.0002465023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3053555,0.6071472,0.008087027,0.01584639,0.002097124,0.001471993,0.003244569,0.000101126,0.05664912],"genre_scores_gemma":[0.6123672,0.3669607,0.008518443,0.00131739,0.0008843278,0.0003667115,0.002785092,0.00003151215,0.006768664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01521653,"threshold_uncertainty_score":0.03762728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001272919596857,"score_gpt":0.3639499136461283,"score_spread":0.2638226216864426,"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."}}