{"id":"W4376865864","doi":"10.18280/isi.280210","title":"Word Search with Trending Reviews on Twitter","year":2023,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word (group theory); Information retrieval; Natural language processing; Computer science; Linguistics; Philosophy","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":[0.0004078321,0.0007274454,0.0005138889,0.00976666,0.0008421692,0.001288293,0.000335212,0.0004965513,0.0107012],"category_scores_gemma":[0.004219627,0.0001553517,0.0005748612,0.00643877,0.0001360599,0.001802252,0.0008484251,0.0002849181,0.008835016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006422719,"about_ca_system_score_gemma":0.0005666963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823506,"about_ca_topic_score_gemma":0.01478694,"domain_scores_codex":[0.9991602,0.000154214,0.000125625,0.0001640898,0.0002935367,0.0001023993],"domain_scores_gemma":[0.9986285,0.0004767152,0.0002364428,0.00007128406,0.0004848693,0.0001022626],"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":[0.00195704,0.0003513707,0.09141516,0.005397111,0.0003595492,0.003052737,0.004426153,0.002896264,0.0338186,0.004619172,0.3192721,0.5324348],"study_design_scores_gemma":[0.0002245776,0.001555672,0.2591757,0.0008770802,0.0004386595,0.003220984,0.01546231,0.1134308,0.03315162,0.008885766,0.5633175,0.0002593339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6072902,0.006982025,0.02045024,0.00324215,0.001257177,0.002017979,0.2718444,0.01182882,0.07508699],"genre_scores_gemma":[0.702354,0.003274845,0.0624819,0.0004770812,0.0009143685,0.001548859,0.1895203,0.0006444292,0.03878422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0107012,"threshold_uncertainty_score":0.03579909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08152204767991385,"score_gpt":0.3046436834596996,"score_spread":0.2231216357797857,"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."}}