{"id":"W4304820937","doi":"10.1007/978-3-031-18344-7_42","title":"A Comparative Analysis of Local Explainability of Models for Sentiment Detection","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sentiment analysis; Computer science; Artificial intelligence; Natural language processing; Focus (optics); Encoder; Transformer; Machine learning; Engineering","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":[0.008937427,0.0008128111,0.0009905669,0.002048912,0.0007497782,0.002846975,0.001402388,0.001013104,0.005604432],"category_scores_gemma":[0.03615212,0.0004353782,0.001452574,0.00147871,0.0009512292,0.00472644,0.001545765,0.001451328,0.0006210778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506058,"about_ca_system_score_gemma":0.0004172058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003239868,"about_ca_topic_score_gemma":0.003564282,"domain_scores_codex":[0.9977525,0.001362431,0.00009774038,0.0003797085,0.0002776958,0.0001298527],"domain_scores_gemma":[0.9138426,0.07921486,0.001512754,0.003167065,0.001813507,0.0004492303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00402006,0.0004637358,0.06124293,0.0008792781,0.001854373,0.000647864,0.002544578,0.5462602,0.009717549,0.1071366,0.007876381,0.2573565],"study_design_scores_gemma":[0.00003226974,0.0001633258,0.008388362,0.00003105097,0.0001764211,0.00006026849,0.0002489111,0.9626913,0.001201104,0.02640236,0.0005793787,0.00002514141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.679668,0.003110251,0.300917,0.001699371,0.00006999847,0.0001004443,0.001011427,0.001558785,0.0118647],"genre_scores_gemma":[0.9807773,0.0002821495,0.01635749,0.00005983997,0.00006760359,0.00004422083,0.001032947,0.0002606919,0.001117723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008937427,"threshold_uncertainty_score":0.04726624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004454091471003,"score_gpt":0.2758592440406493,"score_spread":0.2358147031259393,"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."}}