{"id":"W4385489859","doi":"10.1007/978-3-031-33390-3_10","title":"Random Forests","year":2023,"lang":"en","type":"book-chapter","venue":"Statisctics and computing/Statistics and computing","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Random forest; Sample (material); Mathematics; Statistics; Tree (set theory); Bootstrap aggregating; Artificial intelligence; Machine learning; Computer science; Combinatorics","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":[0.000770305,0.0008168565,0.001346649,0.0002079329,0.0006655976,0.0002742984,0.0002206796,0.0003431367,0.00003133702],"category_scores_gemma":[0.0007082761,0.0007983036,0.0001057073,0.00007111007,0.000394133,0.00004642471,0.0006712225,0.0008859384,0.00001297104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003331096,"about_ca_system_score_gemma":0.00008219956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001166343,"about_ca_topic_score_gemma":0.00003252848,"domain_scores_codex":[0.9964479,0.00009285982,0.001181123,0.001025106,0.0005201455,0.0007328244],"domain_scores_gemma":[0.9903677,0.007840212,0.0007666192,0.0004188638,0.0002254186,0.0003812476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002955355,0.00001587328,0.00001879954,0.0004949964,0.0001402612,0.0001339508,0.0003398273,0.0000884437,0.000001460875,0.7834142,0.001933793,0.2133888],"study_design_scores_gemma":[0.001020146,0.0001822347,0.0000932091,0.0005773483,0.0002665427,0.00006346618,0.000059473,0.1645309,0.0000012705,0.8290375,0.00340965,0.0007582576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000149689,0.000420556,0.9725197,0.00007143657,0.0006065919,0.0005436101,0.0009560912,0.0002439494,0.02448838],"genre_scores_gemma":[0.006478589,0.000733903,0.934991,0.0001509436,0.0004660309,0.000004348235,0.0001434859,0.000333352,0.05669833],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2126306,"threshold_uncertainty_score":0.9994468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09674985517006617,"score_gpt":0.3869100027923107,"score_spread":0.2901601476222446,"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."}}