{"id":"W2957648571","doi":"","title":"Support Vector Machine with Graphical Network Structures in Features","year":2019,"lang":"en","type":"article","venue":"Machine Learning and Data Mining in Pattern Recognition","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Support vector machine; Graphical model; Theoretical computer science; Artificial intelligence","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":[0.0006818151,0.0008105314,0.0009265874,0.0008748377,0.0002599794,0.001305344,0.001253013,0.001100775,0.00376585],"category_scores_gemma":[0.0072816,0.0003892577,0.0006632064,0.001367622,0.0003878444,0.001812895,0.00101374,0.001400039,0.001987368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003658883,"about_ca_system_score_gemma":0.0007288525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001646329,"about_ca_topic_score_gemma":0.001330551,"domain_scores_codex":[0.9991185,0.0002557847,0.00006289869,0.0001917194,0.0003074119,0.00006368224],"domain_scores_gemma":[0.9984781,0.0008018617,0.0001171726,0.0002675003,0.0002911969,0.00004426107],"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":[0.0005884231,0.0002638168,0.001254618,0.0002480988,0.0001155033,0.0002098369,0.00004254956,0.2184664,0.006792593,0.02695437,0.01113678,0.733927],"study_design_scores_gemma":[0.00003486319,0.0001136356,0.0001826377,0.00001390584,0.00001968255,0.00004255159,0.000006416699,0.9793845,0.002083615,0.01663942,0.001468827,0.000009960353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01546001,0.0002823974,0.9790915,0.0003969285,0.0001135894,0.00007951572,0.000610052,0.002476674,0.001489328],"genre_scores_gemma":[0.5160333,0.0004340571,0.4758482,0.0002617563,0.0002151738,0.0004185571,0.002213244,0.0001747398,0.004400987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00376585,"threshold_uncertainty_score":0.01259804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844727399585286,"score_gpt":0.2645528993714113,"score_spread":0.2461056253755584,"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."}}