{"id":"W2179150490","doi":"10.18653/v1/s15-1016","title":"Mapping Different Rhetorical Relation Annotations: A Proposal","year":2015,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relation (database); Rhetorical question; Computer science; Natural language processing; Linguistics; Data mining; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02388286,0.001467486,0.001687891,0.01512397,0.007176179,0.01165935,0.005278519,0.005799768,0.008019949],"category_scores_gemma":[0.04285596,0.001954103,0.002618591,0.01462951,0.008184797,0.04252303,0.009668258,0.0062348,0.005188647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003512101,"about_ca_system_score_gemma":0.01077915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362436,"about_ca_topic_score_gemma":0.008208044,"domain_scores_codex":[0.9830744,0.005668707,0.001337525,0.005257861,0.003474076,0.001187469],"domain_scores_gemma":[0.9588554,0.0111598,0.002029668,0.01421396,0.01149264,0.002248439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001847507,0.0003330018,0.008246928,0.0005334511,0.00008052517,0.0002242989,0.00855241,0.002335731,0.006514952,0.5663121,0.01428559,0.3923962],"study_design_scores_gemma":[0.00007949951,0.000182983,0.003646671,0.0006070324,0.0001963577,0.0006677586,0.006872389,0.03253731,0.006058595,0.7216417,0.2272939,0.0002158691],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01698105,0.001411012,0.9327481,0.01319619,0.0009611683,0.0005203083,0.001086069,0.004238353,0.02885774],"genre_scores_gemma":[0.1100845,0.001109949,0.8736034,0.001975977,0.0004882238,0.000744648,0.002224336,0.001298222,0.008470746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02388286,"threshold_uncertainty_score":0.1263062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960764183669548,"score_gpt":0.2967326707298348,"score_spread":0.2571250288931393,"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."}}