{"id":"W4403683151","doi":"10.23977/jaip.2024.070321","title":"Text classification system based on LLM","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000922727,0.0001043206,0.0001209314,0.0002520755,0.000117671,0.0003961548,0.0005795261,0.00005052361,0.000008978487],"category_scores_gemma":[0.0003535685,0.00008798846,0.0001033848,0.0007314035,0.00003349964,0.001221394,0.00003322757,0.0003493036,0.0002007309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724945,"about_ca_system_score_gemma":0.0002133541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002682387,"about_ca_topic_score_gemma":2.845434e-7,"domain_scores_codex":[0.9984816,0.0001001175,0.0005898564,0.0002218861,0.0004748672,0.0001316804],"domain_scores_gemma":[0.997475,0.001267198,0.0003735348,0.0002834283,0.0005181534,0.00008265686],"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":[0.00002071798,0.0001187166,2.504724e-7,0.00001414391,0.000008893627,0.00003122661,0.00008840066,0.0156309,0.000932114,0.7747892,0.0003165848,0.2080489],"study_design_scores_gemma":[0.000008925086,0.0002755314,0.000006360747,0.0001519415,0.00001755742,0.0001819094,0.0003548482,0.910368,0.009316208,0.03788052,0.04133933,0.00009893419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008817098,0.000106891,0.9780796,0.01543057,0.0005587009,0.000109548,0.000001293598,0.0001572397,0.005468006],"genre_scores_gemma":[0.7264911,0.00002272537,0.2727494,0.0004540816,0.0002423714,0.000009167708,5.567512e-7,0.000008264995,0.0000223596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8947371,"threshold_uncertainty_score":0.382013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07024406697806411,"score_gpt":0.3849638597407743,"score_spread":0.3147197927627102,"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."}}