{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006110428,0.00006944192,0.00009088654,0.0001192111,0.00005928489,0.00002896957,0.0003706535,0.00008815372,0.00001881573],"category_scores_gemma":[0.00002248143,0.00006472103,0.00003036645,0.0003488082,0.00001552216,0.0001280752,0.0001206449,0.0000945739,0.00004632943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006042304,"about_ca_system_score_gemma":0.00003273655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001868138,"about_ca_topic_score_gemma":0.000007424464,"domain_scores_codex":[0.9991308,0.00002250015,0.0001875483,0.0003394577,0.0001290063,0.0001907063],"domain_scores_gemma":[0.9993479,0.00007652017,0.0000578838,0.0004443638,0.00004702654,0.00002626375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001625464,0.0004714757,0.032285,0.00007412549,0.00004158316,0.000001222565,0.001462079,0.0015654,0.03455703,0.779759,0.003349987,0.1464168],"study_design_scores_gemma":[0.0006321686,0.0001294246,0.01054043,0.00001064721,0.000002835338,0.000002926599,0.00006622579,0.9640856,0.004027457,0.01726913,0.003127257,0.0001058585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.455479,0.00002538864,0.5397117,0.00160468,0.0001482567,0.0007639005,0.000002061764,0.0002199625,0.002045019],"genre_scores_gemma":[0.9128136,0.000002503031,0.08636185,0.0001687308,0.00001210416,0.0002047205,0.000003474136,0.000003861674,0.0004291495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625202,"threshold_uncertainty_score":0.2639247,"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."}}