{"id":"W4210747300","doi":"10.2196/33314","title":"Public Perception of the Use of Digital Contact-Tracing Tools After the COVID-19 Lockdown: Sentiment Analysis and Opinion Mining","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nanyang Technological University","keywords":"Bigram; Trigram; Sentiment analysis; Public opinion; Computer science; Phrase; Coronavirus disease 2019 (COVID-19); Artificial intelligence; Natural language processing; Data science; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004598139,0.0001377149,0.0001856618,0.0009993135,0.0006826382,0.001778845,0.000235608,0.000429939,0.002279521],"category_scores_gemma":[0.01368881,0.0001142029,0.0002657375,0.001276424,0.0008420885,0.001417429,0.001013432,0.0006174796,0.0004852608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065308,"about_ca_system_score_gemma":0.0011022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006703098,"about_ca_topic_score_gemma":0.006865794,"domain_scores_codex":[0.9972982,0.001263626,0.0002654409,0.0001772868,0.0006902379,0.0003052072],"domain_scores_gemma":[0.9840662,0.006019817,0.005847288,0.0003096952,0.002662291,0.001094502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003290331,0.0001096552,0.8626447,0.0003991038,0.00004767393,0.000636631,0.0809962,0.0001918081,0.002894936,0.000588626,0.006794861,0.04436676],"study_design_scores_gemma":[0.000008565423,0.0002769107,0.8121744,0.0002211739,0.00003119931,0.0002570448,0.1740782,0.001527046,0.001212154,0.0002496906,0.009922822,0.00004070717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944826,0.00009553962,0.0002051398,0.001784656,0.00001376174,0.00002564973,0.0003416067,0.000009751771,0.003041344],"genre_scores_gemma":[0.9986136,0.0001912815,0.0001542991,0.0002715201,0.00001595748,0.0000182145,0.0001669147,0.000005203979,0.0005630878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006703098,"threshold_uncertainty_score":0.02431756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918436512856653,"score_gpt":0.3926761633084518,"score_spread":0.2008325120227865,"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."}}