{"id":"W4389613952","doi":"10.1162/coli_a_00501","title":"Stance Detection with Explanations","year":2023,"lang":"en","type":"article","venue":"Computational Linguistics","topic":"Topic Modeling","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Automatic summarization; Artificial intelligence; Parsing; Benchmark (surveying); Machine learning; Focus (optics); Grammaticality; Natural language processing; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001188059,0.00006515751,0.00006063707,0.0001163142,0.0001483064,0.00007315924,0.0002257357,0.00002173963,0.000002140459],"category_scores_gemma":[0.0004017585,0.00006342355,0.000014759,0.0005091421,0.00001758777,0.00004526701,0.00005485295,0.00007018746,0.00009409137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003445926,"about_ca_system_score_gemma":0.00007647699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003792707,"about_ca_topic_score_gemma":0.000008828702,"domain_scores_codex":[0.9992245,0.00001678594,0.0001375587,0.0002030043,0.0002872794,0.0001309081],"domain_scores_gemma":[0.9991518,0.0002140784,0.00005077747,0.0001693712,0.0003705145,0.00004351525],"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":[0.000001729713,0.000008714783,0.0002169646,0.000007440302,0.000007133829,0.0000165908,0.0001725326,0.6302264,0.000009512262,0.3635958,0.0003149924,0.005422154],"study_design_scores_gemma":[0.0001168265,0.00002064862,0.002077898,0.00001073773,0.000002169162,0.000004493182,0.00001304576,0.9265939,0.00004973546,0.06571292,0.005312558,0.0000850709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00316686,0.00001187742,0.9931639,0.0001586259,0.0005878059,0.00005629398,0.000004169715,0.0004338521,0.002416568],"genre_scores_gemma":[0.8074511,0.000001444203,0.1920456,0.0001106782,0.0002373663,0.000007375744,0.00001529892,0.000005736133,0.0001253778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8042842,"threshold_uncertainty_score":0.2586337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02863169177005188,"score_gpt":0.2680939184902881,"score_spread":0.2394622267202363,"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."}}