{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005178054,0.002973867,0.001752604,0.005982028,0.0021129,0.002212279,0.001944996,0.002597784,0.06573977],"category_scores_gemma":[0.01622037,0.0004308414,0.000968745,0.003377096,0.0004755766,0.003818185,0.003242898,0.001937899,0.05910979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059776,"about_ca_system_score_gemma":0.002534974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005964975,"about_ca_topic_score_gemma":0.01163187,"domain_scores_codex":[0.9944972,0.001408125,0.0003914172,0.001320349,0.001904219,0.000478676],"domain_scores_gemma":[0.9877395,0.003196729,0.000657319,0.003028251,0.00368539,0.001692879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000274881,0.0002494185,0.00130262,0.0003800929,0.00004595286,0.0002032245,0.000116532,0.0005225939,0.007073583,0.0005926248,0.8971808,0.09205769],"study_design_scores_gemma":[0.0008353156,0.0006380962,0.02237787,0.0002467152,0.00006931759,0.001799444,0.0008800589,0.04652711,0.03836344,0.005748444,0.8823151,0.0001990659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1110084,0.004705219,0.07035127,0.00651447,0.00699428,0.005201194,0.6307169,0.108423,0.05608533],"genre_scores_gemma":[0.06597897,0.0003711084,0.06933977,0.0007846283,0.0006094271,0.002413827,0.8247645,0.003245558,0.03249218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06573977,"threshold_uncertainty_score":0.2199215,"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."}}