{"id":"W6947309717","doi":"10.48448/bhap-vy69","title":"Detecting Speaker Personas from Conversational Texts","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Persona; Redundancy (engineering); Baseline (sea); Dependency (UML); Task (project management); Matching (statistics); Speaker verification","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":[0.001446373,0.001835181,0.0008243396,0.003537683,0.0007607602,0.001174106,0.001231618,0.001581856,0.004031025],"category_scores_gemma":[0.0060115,0.000319721,0.0009943018,0.001474088,0.0002951115,0.002183246,0.001357167,0.001023026,0.004932976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310597,"about_ca_system_score_gemma":0.0004569595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004995634,"about_ca_topic_score_gemma":0.009496189,"domain_scores_codex":[0.998189,0.0005414684,0.0001070198,0.0007528343,0.0002896708,0.0001200047],"domain_scores_gemma":[0.9967338,0.001709043,0.0003760012,0.0005182525,0.0004622566,0.0002008387],"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":[0.00190048,0.001034172,0.05837293,0.001524955,0.0005755477,0.001113259,0.00108005,0.02030741,0.05443045,0.002311303,0.03616585,0.8211835],"study_design_scores_gemma":[0.00005691907,0.0005784347,0.07509641,0.00018568,0.0002875848,0.001989352,0.001703816,0.8206094,0.05879131,0.006964948,0.03357701,0.0001591814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6691759,0.005074539,0.2521396,0.0009682724,0.0006063178,0.0007358161,0.03156063,0.01933912,0.02039979],"genre_scores_gemma":[0.7975821,0.001052437,0.1397292,0.0002194395,0.0003088245,0.0002802999,0.04657154,0.000456571,0.01379959],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004995634,"threshold_uncertainty_score":0.01348513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751634582697988,"score_gpt":0.2598375037893859,"score_spread":0.242321157962406,"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."}}