{"id":"W3098135292","doi":"10.18653/v1/2020.emnlp-main.427","title":"Help! Need Advice on Identifying Advice","year":2020,"lang":"","type":"article","venue":"ArXiv.org","topic":"Topic Modeling","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Texas at Austin; National Science Foundation","keywords":"Advice (programming); Pragmatics; Computer science; Variety (cybernetics); GRASP; Psychology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002171968,0.0009159209,0.0004492831,0.001983566,0.001183869,0.00188827,0.0008739271,0.001799772,0.00944905],"category_scores_gemma":[0.02450777,0.0004523754,0.000649866,0.001297289,0.0006529814,0.004133638,0.001525754,0.001921905,0.009496638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008635058,"about_ca_system_score_gemma":0.001395274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569569,"about_ca_topic_score_gemma":0.03874489,"domain_scores_codex":[0.9975488,0.0009874065,0.0001460567,0.0006015173,0.0005543432,0.0001618599],"domain_scores_gemma":[0.9844848,0.01017825,0.0007447211,0.001514305,0.002469036,0.0006088679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00140299,0.0005610014,0.1234725,0.002060818,0.0001179706,0.0009098272,0.006619223,0.009982688,0.009944806,0.01083562,0.3895034,0.4445891],"study_design_scores_gemma":[0.0002096656,0.0003979168,0.1090171,0.0007161806,0.0001805677,0.001787671,0.003893073,0.2801016,0.01584595,0.02570362,0.5619542,0.0001923985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5723595,0.008513544,0.147522,0.01865068,0.001758377,0.001215848,0.1037779,0.04021464,0.1059876],"genre_scores_gemma":[0.7126443,0.002225689,0.1261269,0.002951306,0.0005939503,0.0004688619,0.1144859,0.002168308,0.03833489],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02569569,"threshold_uncertainty_score":0.05109221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08848159657507164,"score_gpt":0.285614763310375,"score_spread":0.1971331667353033,"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."}}