{"id":"W2354371718","doi":"","title":"A Brief Survey of Decision Tree Attributes Selection Strategy","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Selection (genetic algorithm); Variety (cybernetics); Decision tree; Core (optical fiber); Data mining; Machine learning; Tree (set theory); Artificial intelligence; Operations research; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002970499,0.0009826312,0.001396926,0.003588566,0.0008130349,0.002697895,0.001566795,0.001197495,0.003988564],"category_scores_gemma":[0.004529597,0.0005071606,0.001225748,0.007673909,0.0005146072,0.003070602,0.0008500002,0.001293874,0.002161255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042763,"about_ca_system_score_gemma":0.0009744787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001977896,"about_ca_topic_score_gemma":0.001484323,"domain_scores_codex":[0.9970324,0.001032496,0.000329499,0.0003526044,0.001133476,0.0001194465],"domain_scores_gemma":[0.998422,0.0008671578,0.00008170024,0.0000878483,0.0004911577,0.00005008463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008778914,0.00015989,0.002110567,0.001714335,0.000162232,0.0002599762,0.0002665704,0.02604049,0.001802941,0.1015787,0.01571756,0.850099],"study_design_scores_gemma":[0.00006685992,0.0004307372,0.003664499,0.001597582,0.0002769122,0.001975017,0.0004388151,0.3527511,0.00472955,0.2885276,0.3453541,0.000187359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.005998682,0.1075144,0.8653234,0.001555642,0.0005766024,0.0002081976,0.0005279824,0.0003452289,0.01795001],"genre_scores_gemma":[0.1281859,0.1788378,0.6760913,0.001203039,0.001829824,0.0005499442,0.001647695,0.0002257937,0.01142878],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003988564,"threshold_uncertainty_score":0.0157097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836238428495798,"score_gpt":0.2800887804053775,"score_spread":0.2517263961204195,"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."}}