{"id":"W6950531438","doi":"10.5281/zenodo.5540623","title":"Learning Sentiment Analysis for Accessibility User Reviews","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Accessibility for Disabilities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Sentiment analysis; Popularity; Mobile apps; Work (physics); Term (time); Software","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":[0.001169989,0.001056502,0.0006688308,0.003000586,0.0005494805,0.0008013536,0.0006593412,0.000881843,0.003127796],"category_scores_gemma":[0.005527361,0.0001571972,0.0007821669,0.00149917,0.0001978368,0.0008922003,0.0007298131,0.0007551782,0.004574996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008806881,"about_ca_system_score_gemma":0.0005183556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006094872,"about_ca_topic_score_gemma":0.01809472,"domain_scores_codex":[0.9986778,0.000343996,0.0001495635,0.0002326535,0.0004821018,0.000113848],"domain_scores_gemma":[0.9965209,0.000891475,0.0004003642,0.0003179907,0.001631234,0.0002380991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076988,0.001381292,0.08163463,0.002489536,0.0004096077,0.001244011,0.0009162701,0.004655714,0.01894013,0.0009988255,0.5899578,0.2962953],"study_design_scores_gemma":[0.0003231851,0.001304064,0.3109094,0.0005895915,0.0002974515,0.001984,0.003182714,0.1776677,0.0242714,0.001918584,0.4773432,0.0002086368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5203107,0.005694892,0.01876374,0.003277839,0.002071459,0.001655069,0.4100059,0.007637342,0.03058308],"genre_scores_gemma":[0.4233297,0.0009767964,0.03308583,0.0007269902,0.0005445915,0.00102523,0.526522,0.000262799,0.01352602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006094872,"threshold_uncertainty_score":0.01211882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07613744399701404,"score_gpt":0.339507781759074,"score_spread":0.26337033776206,"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."}}