{"id":"W3008942651","doi":"10.1109/bigdata47090.2019.9006140","title":"Evaluating Sentiment C1assifiers for Bitcoin Tweets in Price Prediction Task","year":2019,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sentiment analysis; Computer science; Cryptocurrency; Task (project management); Artificial intelligence; Social media; Class (philosophy); Machine learning; Decision tree; Quality (philosophy); Big data; Embedding; Data mining; 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":[0.001761569,0.001427224,0.0007878221,0.002021599,0.0005901997,0.001065982,0.0005070927,0.001518048,0.003825025],"category_scores_gemma":[0.005499011,0.0001969248,0.0006261366,0.0009432668,0.0002209509,0.0009810008,0.0005734551,0.001188572,0.003101759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005858981,"about_ca_system_score_gemma":0.0006293287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006887642,"about_ca_topic_score_gemma":0.008763562,"domain_scores_codex":[0.9992054,0.0001618505,0.00007530896,0.0001876691,0.000196741,0.0001729849],"domain_scores_gemma":[0.9973077,0.001478529,0.0002729842,0.0001328983,0.0005691243,0.0002388192],"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":[0.006169577,0.002346227,0.3250182,0.0006572389,0.0005427424,0.0006432416,0.0004957723,0.0281194,0.03289099,0.0005319094,0.0544953,0.5480893],"study_design_scores_gemma":[0.0001167082,0.0006776114,0.1375542,0.00008464014,0.0001663458,0.0002296831,0.0005480589,0.8401889,0.01578583,0.0004788906,0.00410181,0.00006743745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786719,0.0007105381,0.007425643,0.0005840508,0.0003499424,0.0002112925,0.0058707,0.001423502,0.004752298],"genre_scores_gemma":[0.9734609,0.0002188662,0.008548561,0.0001418061,0.0001935585,0.0001722323,0.01349489,0.00007041769,0.003698796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006887642,"threshold_uncertainty_score":0.01369512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479206012263074,"score_gpt":0.301466716435745,"score_spread":0.2766746563131143,"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."}}