{"id":"W3173838631","doi":"10.18653/v1/2021.findings-acl.208","title":"P-Stance: A Large Dataset for Stance Detection in Political Domain","year":2021,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Amazon Web Services; National Science Foundation","keywords":"Politics; Domain (mathematical analysis); Computer science; Artificial intelligence; Political science; Mathematics","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":[0.0005704927,0.0009778277,0.0003978627,0.002316695,0.001086561,0.0008954723,0.0007323617,0.001593171,0.00592514],"category_scores_gemma":[0.003190232,0.0002157233,0.0004871752,0.002338314,0.000305062,0.001269479,0.001111215,0.001281931,0.009040061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007058521,"about_ca_system_score_gemma":0.0009525943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006152508,"about_ca_topic_score_gemma":0.01871388,"domain_scores_codex":[0.9992589,0.0001544695,0.0001053378,0.0001658246,0.0002189879,0.00009645898],"domain_scores_gemma":[0.9985291,0.000352081,0.0002649683,0.0002286126,0.0004355841,0.0001896965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008261311,0.0004366218,0.01984852,0.001260305,0.00009875399,0.0005681409,0.0009923292,0.001425953,0.01136936,0.003541471,0.882809,0.0768234],"study_design_scores_gemma":[0.0003129806,0.0002569151,0.07919361,0.0004245944,0.00006918241,0.00092817,0.001891886,0.01737554,0.01303585,0.00414244,0.8822117,0.0001571695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0724292,0.001313352,0.006470985,0.001146585,0.0006095559,0.0005081108,0.8929121,0.004593125,0.02001699],"genre_scores_gemma":[0.06114963,0.0003896682,0.01673687,0.0003538491,0.0001645299,0.0006977032,0.9133413,0.0002787501,0.006887761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006152508,"threshold_uncertainty_score":0.01982158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201442450801681,"score_gpt":0.3062930655477908,"score_spread":0.2861488204676227,"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."}}