{"id":"W3049351399","doi":"10.32628/cseit206375","title":"Traffic Detection using Sentimental Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Expansive; Sentiment analysis; Computer science; Data science; Social media; Internet privacy; World Wide Web; Information retrieval; Artificial intelligence","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":[0.0008474782,0.0007961084,0.0006241445,0.006383032,0.0006454567,0.001696469,0.0003545619,0.0004971197,0.003700986],"category_scores_gemma":[0.002653605,0.0001845432,0.0007703559,0.002991796,0.0002352502,0.00121861,0.0004862468,0.0005550663,0.003475401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937849,"about_ca_system_score_gemma":0.0005012051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398904,"about_ca_topic_score_gemma":0.003419542,"domain_scores_codex":[0.9990531,0.000121613,0.0001028795,0.0001573005,0.0004327054,0.0001324899],"domain_scores_gemma":[0.998171,0.0002456325,0.0002724807,0.00004861885,0.001185766,0.00007650825],"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":[0.0006789671,0.0006923123,0.1207689,0.0008709243,0.0003491528,0.0009991108,0.000988931,0.007902241,0.0805571,0.0040871,0.04922752,0.7328777],"study_design_scores_gemma":[0.00006635523,0.0006224262,0.2633866,0.0002410362,0.0003686495,0.001038926,0.004142967,0.6187083,0.04334073,0.007659849,0.06023108,0.000193135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6607583,0.001228676,0.2296013,0.001785336,0.001327401,0.002187949,0.01803318,0.006190433,0.07888742],"genre_scores_gemma":[0.8982972,0.0008024432,0.07947117,0.0002391959,0.0004730066,0.0005170684,0.008738865,0.0001995186,0.01126151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006383032,"threshold_uncertainty_score":0.01238096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03562062216535736,"score_gpt":0.3188480002258042,"score_spread":0.2832273780604468,"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."}}