{"id":"W6891801238","doi":"10.48448/m81r-4s49","title":"Learning Better Intent Representations for Financial Open Intent Classification","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Benchmark (surveying); Prefix; Downstream (manufacturing); Open domain; Domain (mathematical analysis); Base (topology); Boundary (topology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002051916,0.0003531248,0.0003950599,0.001300707,0.001027128,0.0005747158,0.002879553,0.0001476074,0.006915476],"category_scores_gemma":[0.002305848,0.0003517682,0.0001189075,0.00170356,0.0009864772,0.0004550172,0.001739505,0.0007031482,0.001144441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087682,"about_ca_system_score_gemma":0.001302755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007123925,"about_ca_topic_score_gemma":0.0009431125,"domain_scores_codex":[0.9961691,0.0001507564,0.0005472852,0.001403571,0.001057655,0.0006716411],"domain_scores_gemma":[0.9975926,0.0001375268,0.0007880174,0.0009374467,0.0003655793,0.0001788157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004524022,0.0002328932,0.001267622,0.00003285233,0.00003278786,0.000004061718,0.0004779739,0.0004316273,0.003292896,0.01301298,0.9584906,0.02267845],"study_design_scores_gemma":[0.0006981771,0.0002391962,0.001160335,0.00008025116,0.00006563772,0.000008357565,0.001828368,0.02477839,0.00008375305,0.001195015,0.969349,0.0005135478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006811009,0.0001701782,0.04948398,0.007355593,0.004027076,0.009475871,0.001169577,0.00139586,0.9262407],"genre_scores_gemma":[0.0203588,0.00003097658,0.05560607,0.001695667,0.001178352,0.002877957,0.003182222,0.001420004,0.9136499],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02434677,"threshold_uncertainty_score":0.9998934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09107495216709752,"score_gpt":0.3801292637221546,"score_spread":0.2890543115550571,"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."}}