{"id":"W2252227670","doi":"","title":"Resolving â€œThis-issueâ€ Anaphora","year":2012,"lang":"en","type":"article","venue":"Empirical Methods in Natural Language Processing","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Anaphora (linguistics); Computer science; Natural language processing; Artificial intelligence; Resolution (logic)","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":[0.0270473,0.0006308134,0.001316076,0.003577998,0.003477312,0.01025946,0.002770329,0.003664552,0.01146959],"category_scores_gemma":[0.1295,0.0008669135,0.001027381,0.003879197,0.003406222,0.01558231,0.008012157,0.004484918,0.001086088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792166,"about_ca_system_score_gemma":0.003017935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743492,"about_ca_topic_score_gemma":0.002029435,"domain_scores_codex":[0.9789256,0.01212706,0.001783143,0.003306428,0.003154786,0.0007029876],"domain_scores_gemma":[0.9250197,0.05646777,0.004487348,0.01003754,0.003493107,0.0004945516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002817865,0.0002847794,0.02482865,0.0006210641,0.0002448396,0.0004418227,0.004163137,0.002292797,0.001935671,0.7701298,0.01247398,0.1823016],"study_design_scores_gemma":[0.00008060931,0.00003279401,0.009405055,0.0002922257,0.0001403984,0.000950702,0.00314721,0.02450635,0.004227859,0.9149805,0.04217871,0.00005763003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3284802,0.004578263,0.5699951,0.02468083,0.001455832,0.0003703665,0.001891879,0.0009254813,0.06762195],"genre_scores_gemma":[0.8662112,0.0009495942,0.1220369,0.001414387,0.0007314433,0.0001588894,0.001906634,0.0004304611,0.006160398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0270473,"threshold_uncertainty_score":0.1430416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07225211446287715,"score_gpt":0.4151775315217796,"score_spread":0.3429254170589024,"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."}}