{"id":"W4389520083","doi":"10.18653/v1/2023.findings-emnlp.387","title":"Investigating Online Community Engagement through Stancetaking","year":2023,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Identity (music); Context (archaeology); Variation (astronomy); Similarity (geometry); Online community; Community engagement; Computer science; Sociology; Data science; Psychology; World Wide Web; Public relations; Geography; Artificial intelligence; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261037,0.0002689771,0.0002769199,0.002326502,0.0008955713,0.002290768,0.0004068447,0.0006408173,0.002741514],"category_scores_gemma":[0.01117024,0.0001783973,0.0002856326,0.002461872,0.001160754,0.004073265,0.002133796,0.0006955002,0.0006010254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005433174,"about_ca_system_score_gemma":0.0002734217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620476,"about_ca_topic_score_gemma":0.002492212,"domain_scores_codex":[0.9989703,0.000453174,0.00005076642,0.0002682213,0.0001625133,0.0000950886],"domain_scores_gemma":[0.9934711,0.003456326,0.001391618,0.0007737614,0.0004751737,0.0004321104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009147497,0.0004629201,0.4798394,0.0007698152,0.0001958213,0.0008394528,0.05284506,0.01308377,0.04075755,0.0978474,0.003554104,0.30889],"study_design_scores_gemma":[0.00005408333,0.0003567339,0.3722706,0.0003287182,0.0001218005,0.001167532,0.04874807,0.2467553,0.01783861,0.2773878,0.03478833,0.0001824326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009902,0.0005763309,0.08141279,0.0004589318,0.00003085484,0.00009259982,0.0008342576,0.0002214127,0.01538277],"genre_scores_gemma":[0.9879291,0.00008933063,0.01101582,0.0000289747,0.00000867559,0.00003188293,0.0002483622,0.00002394777,0.0006238444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002741514,"threshold_uncertainty_score":0.009171307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3415336180240014,"score_gpt":0.3841021647632059,"score_spread":0.04256854673920452,"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."}}