{"id":"W2407284108","doi":"","title":"CNG Text Classification for Authorship Profiling Task Notebook for PAN at CLEF 2013.","year":2013,"lang":"en","type":"article","venue":"CLEF (Working Notes)","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Clef; Classifier (UML); Computer science; Artificial intelligence; Natural language processing; Profiling (computer programming); Task (project management); Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001605465,0.0003451543,0.0003434581,0.0001669249,0.0009339014,0.0004831333,0.001043412,0.0003927433,0.00003618276],"category_scores_gemma":[0.0007839981,0.0003345808,0.0002622263,0.0003941894,0.00008571427,0.000515471,0.0002749847,0.0003467638,0.0004031521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676326,"about_ca_system_score_gemma":0.0001135638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002371248,"about_ca_topic_score_gemma":0.00001591644,"domain_scores_codex":[0.9969988,0.0001663393,0.0006301531,0.000946853,0.0003364088,0.0009214121],"domain_scores_gemma":[0.996578,0.001545945,0.0004070116,0.0008531056,0.000351099,0.0002648044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001698053,0.0001860701,0.01434676,0.0003751654,0.0001044634,0.000002760937,0.003481017,0.0003409523,0.08161101,0.3328179,0.01149626,0.5550678],"study_design_scores_gemma":[0.001881536,0.0002881557,0.01612941,0.0003271121,0.00007420145,0.0000191976,0.0001388053,0.7447481,0.06376625,0.05551003,0.1156239,0.001493226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03140209,0.0002149952,0.9562427,0.006931591,0.001518854,0.002601989,0.00001702273,0.0005945063,0.0004762727],"genre_scores_gemma":[0.8737611,0.00001022103,0.1227655,0.0007658781,0.0006034938,0.0007368668,0.0001010159,0.00005120478,0.001204756],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8423589,"threshold_uncertainty_score":0.9999106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09971323396320451,"score_gpt":0.3079831026126824,"score_spread":0.2082698686494778,"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."}}