{"id":"W2954484802","doi":"10.1007/978-3-030-19738-4_28","title":"Supervised Classification Box Algorithm Based on Graph Partitioning","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Graph; Pattern recognition (psychology); Artificial intelligence; Algorithm; Theoretical computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005283272,0.0003755043,0.0004484323,0.0004243471,0.000151231,0.0004167351,0.0006940007,0.0001415028,0.0000106843],"category_scores_gemma":[0.00001091263,0.0003655856,0.00009501869,0.0001327463,0.00005286629,0.0005335854,0.000242313,0.0003323134,0.00008884409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008746286,"about_ca_system_score_gemma":0.00003584296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001911922,"about_ca_topic_score_gemma":0.000004093871,"domain_scores_codex":[0.9976327,0.00005067427,0.0006630282,0.0008799002,0.000441683,0.0003320557],"domain_scores_gemma":[0.9985285,0.0002350054,0.0003847997,0.0007042828,0.0000747888,0.00007258625],"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":[0.000003392836,0.00002717549,0.000143617,0.0002319118,0.00001864599,0.00001885909,0.00008465601,0.01150083,9.287673e-7,0.4510618,0.0001379074,0.5367702],"study_design_scores_gemma":[0.0001857321,0.0001003531,0.0000370194,0.001624525,0.000009418032,0.000003479981,0.00006369921,0.877202,0.000007533919,0.003915696,0.1164437,0.0004068163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000008711226,0.004107336,0.8873824,0.00006588836,0.00199366,0.0005374272,0.00001169737,0.0001291983,0.1057636],"genre_scores_gemma":[0.3472944,0.02803429,0.3524403,0.003545384,0.005375904,0.0003015555,0.002221162,0.0007310437,0.2600559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8657011,"threshold_uncertainty_score":0.9998796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630939855945099,"score_gpt":0.2597019193474782,"score_spread":0.2333925207880272,"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."}}