{"id":"W1888927200","doi":"10.3233/ida-2012-00557","title":"Feature ranking fusion for text classifier","year":2012,"lang":"en","type":"article","venue":"Intelligent Data Analysis","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Classifier (UML); Computer science; Fusion; Machine learning; Natural language processing; Linguistics","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":[0.001966682,0.001046618,0.001959224,0.003470602,0.000818617,0.001630741,0.001114403,0.001267718,0.004750905],"category_scores_gemma":[0.004466045,0.0002322464,0.001357648,0.003370246,0.0002968886,0.002049007,0.0008757263,0.001018059,0.004605236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711391,"about_ca_system_score_gemma":0.0009445066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001982544,"about_ca_topic_score_gemma":0.002142894,"domain_scores_codex":[0.9976234,0.0003833077,0.0001793722,0.0004089478,0.001134876,0.0002701042],"domain_scores_gemma":[0.9978343,0.0004509657,0.0001370762,0.0003081781,0.001177153,0.00009241597],"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":[0.000623573,0.0003137747,0.002100086,0.0002294955,0.0001798914,0.0001698874,0.00006540603,0.01924778,0.05403979,0.003595211,0.01965419,0.8997809],"study_design_scores_gemma":[0.00007071642,0.0005618205,0.006620081,0.00004658868,0.0003071811,0.0003534452,0.00008402846,0.9083929,0.05756773,0.01014059,0.0157492,0.00010567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04925236,0.002785372,0.9327549,0.0004777496,0.0005783925,0.0002764596,0.001353777,0.006273726,0.006247205],"genre_scores_gemma":[0.6586749,0.001056349,0.3239091,0.0003431913,0.0008828534,0.0004550589,0.004938137,0.0003013719,0.009439055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004750905,"threshold_uncertainty_score":0.01589334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09784571685237035,"score_gpt":0.34321365686519,"score_spread":0.2453679400128196,"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."}}