{"id":"W3172756271","doi":"","title":"Comparison of Traditional Linear SVM Implementation Against MapReduce SVM Implementation","year":2014,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Computer science; Data mining; Artificial intelligence; Machine learning","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":[0.0003477179,0.0001659552,0.000212397,0.000241355,0.0002797086,0.0001232733,0.0004271184,0.00006154686,0.00002982664],"category_scores_gemma":[0.00003241192,0.0001786591,0.00007879068,0.000495618,0.00007259595,0.003026738,0.00008748422,0.0001007789,0.00003402668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767284,"about_ca_system_score_gemma":0.00008990783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003484354,"about_ca_topic_score_gemma":0.000008302283,"domain_scores_codex":[0.9981707,0.00006365235,0.0009318935,0.0001844425,0.0004204368,0.0002288251],"domain_scores_gemma":[0.9984594,0.0001146499,0.0006728172,0.0002961225,0.0003836767,0.0000733503],"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":[0.000007704042,0.00007584498,0.001367789,0.0001056038,0.00002436012,1.04797e-7,0.003585246,0.008812672,0.001872906,0.4336862,0.001164873,0.5492967],"study_design_scores_gemma":[0.001757486,0.0007030743,0.04393736,0.0001335033,0.00003412725,0.00002277476,0.00267618,0.6128948,0.09862459,0.2109265,0.02743494,0.0008545886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08803374,0.00001247515,0.9087046,0.000210178,0.0001226305,0.0004246827,0.00004965393,0.0002263778,0.002215697],"genre_scores_gemma":[0.842878,0.000007221181,0.1558868,0.0002454811,0.00007043671,0.0001455311,0.0007545723,0.000007444909,0.000004539775],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7548443,"threshold_uncertainty_score":0.7285506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997575690565854,"score_gpt":0.3439182341690793,"score_spread":0.3039424772634208,"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."}}