{"id":"W4288080293","doi":"10.1145/3385186","title":"OutdoorSent","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Sentiment analysis; Generalization; Class (philosophy); Artificial intelligence; Context (archaeology); Information retrieval; Machine learning; Data science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001210254,0.00008657766,0.0001167015,0.0001277455,0.0001422849,0.0003372093,0.0005124884,0.00003687833,0.00004304926],"category_scores_gemma":[0.00001510055,0.00007753047,0.00008507079,0.0004482383,0.000006035148,0.001630647,0.00000882643,0.00008717614,0.00157351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002338125,"about_ca_system_score_gemma":0.00002114908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001274215,"about_ca_topic_score_gemma":2.434126e-7,"domain_scores_codex":[0.9990624,0.00002990968,0.0003643922,0.0001104008,0.0003147457,0.0001181331],"domain_scores_gemma":[0.9992857,0.00003961128,0.0001151273,0.0003837814,0.00007196724,0.000103807],"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":[0.00005925741,0.0001898213,0.0006061963,0.0002843328,0.0005559479,0.000006056334,0.04407496,0.347186,0.0002807305,0.09988089,0.02410736,0.4827684],"study_design_scores_gemma":[0.0007054944,0.0001489266,0.0002215565,0.00003944556,0.00001962476,0.000008099276,0.002255488,0.6802343,0.001245971,0.00005100617,0.3147498,0.0003203248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004237455,0.00001531811,0.9926106,0.00311566,0.0005650946,0.000123437,0.000004028715,0.0001981341,0.002944014],"genre_scores_gemma":[0.9929945,0.00001086514,0.005169462,0.001636815,0.00005022238,0.00002455063,0.000008076268,0.000003027333,0.0001024524],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9925708,"threshold_uncertainty_score":0.9992039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03513477824408741,"score_gpt":0.2490701315389516,"score_spread":0.2139353532948641,"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."}}