{"id":"W3164507854","doi":"10.18280/ria.350209","title":"A Multilabel Classifier for Text Classification and Enhanced BERT System","year":2021,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Classifier (UML); Pooling; Word embedding; Machine learning; Encoder; Sentiment analysis; Embedding; Natural language processing","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":[0.001045772,0.001226404,0.001171921,0.002368011,0.0007885397,0.0009949423,0.001427739,0.00118649,0.005059031],"category_scores_gemma":[0.002383216,0.0003415058,0.0008754548,0.001472417,0.0002342653,0.002282013,0.001035705,0.001238028,0.004502513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261442,"about_ca_system_score_gemma":0.001426194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008557999,"about_ca_topic_score_gemma":0.009342023,"domain_scores_codex":[0.9985991,0.0001716134,0.0001127334,0.0003490507,0.0005753866,0.0001921466],"domain_scores_gemma":[0.9991316,0.0001670078,0.00006164647,0.00008789582,0.0005058848,0.00004593185],"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":[0.0008430767,0.0005162735,0.002150537,0.0002091617,0.0001008435,0.0005452184,0.0001655555,0.02201906,0.05628559,0.003299463,0.02252987,0.8913354],"study_design_scores_gemma":[0.00003940351,0.0002226151,0.001375155,0.00001732617,0.00005465416,0.0002808443,0.00007681664,0.9552996,0.03142455,0.002294648,0.008853024,0.00006141991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06453145,0.0006302894,0.8871337,0.0004325115,0.0004048706,0.0005573733,0.002226654,0.03901271,0.005070363],"genre_scores_gemma":[0.4615963,0.0004453722,0.5057244,0.0004726627,0.0002757782,0.000687769,0.0106912,0.000549305,0.01955728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008557999,"threshold_uncertainty_score":0.01701641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06416258640954162,"score_gpt":0.298775168279697,"score_spread":0.2346125818701554,"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."}}