{"id":"W4391392503","doi":"10.5539/cis.v17n1p1","title":"Expanding the Breadth of Ability in Artificial Intelligence Systems with Decision Trees","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Decision tree; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00596789,0.0008651019,0.0008207933,0.001815331,0.001163953,0.004018367,0.00154025,0.001320689,0.003123545],"category_scores_gemma":[0.01303058,0.0006208624,0.000883982,0.001633124,0.003912063,0.01335627,0.006471101,0.002223789,0.001080762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005469548,"about_ca_system_score_gemma":0.0009805528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006993565,"about_ca_topic_score_gemma":0.0006969231,"domain_scores_codex":[0.9966695,0.001461684,0.0002519519,0.000417045,0.0009936967,0.0002060864],"domain_scores_gemma":[0.9893613,0.008459703,0.0003307991,0.001089442,0.0004764684,0.0002821372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003098926,0.0002830636,0.005224449,0.001050444,0.0001433836,0.0004692494,0.005654212,0.03725932,0.01552453,0.4898513,0.001852818,0.4423775],"study_design_scores_gemma":[0.0001025552,0.0005084818,0.001347644,0.0005960055,0.0001887779,0.0008319451,0.0009447893,0.131248,0.01033133,0.7777457,0.07605235,0.0001024674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06843244,0.006017421,0.8785605,0.004050543,0.00008072893,0.0001718654,0.00007986432,0.001226493,0.04138009],"genre_scores_gemma":[0.6080356,0.003775788,0.3829324,0.0009002076,0.0002399766,0.0002447272,0.0001028662,0.00024291,0.00352559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00596789,"threshold_uncertainty_score":0.03156155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518388695967329,"score_gpt":0.2926664620425641,"score_spread":0.2674825750828908,"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."}}