{"id":"W2577161492","doi":"","title":"Semisupervised text classification using unsupervised topic information","year":2016,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Information retrieval","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":[0.001725582,0.001022245,0.001220805,0.00418079,0.001210775,0.002156547,0.00140525,0.001262599,0.002933926],"category_scores_gemma":[0.005717349,0.0003898974,0.001343379,0.003401565,0.0005825557,0.003173588,0.001477899,0.001531029,0.004764907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005604051,"about_ca_system_score_gemma":0.001261908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163729,"about_ca_topic_score_gemma":0.003209844,"domain_scores_codex":[0.9976625,0.0006220185,0.0002482126,0.0007533121,0.0005641324,0.0001498806],"domain_scores_gemma":[0.9946222,0.002197743,0.0005489685,0.0009023846,0.001535858,0.0001928337],"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":[0.0005395934,0.0007199184,0.004902125,0.000456724,0.0002201811,0.0002299852,0.0004490062,0.007363437,0.0517261,0.006065168,0.03417516,0.8931527],"study_design_scores_gemma":[0.0001085383,0.0003295618,0.009004703,0.00015818,0.0003073702,0.000967972,0.0005384697,0.8552759,0.0610702,0.03713423,0.03499794,0.0001069114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0599585,0.001908187,0.9194388,0.001082502,0.0005725827,0.0004214986,0.00296324,0.006655153,0.006999582],"genre_scores_gemma":[0.4154406,0.001068915,0.5453008,0.0004638655,0.001323851,0.0009004255,0.01694756,0.0007030662,0.01785092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00418079,"threshold_uncertainty_score":0.009814918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233472750172762,"score_gpt":0.368675602195097,"score_spread":0.2453283271778208,"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."}}