{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147982,0.001276089,0.001057578,0.001882311,0.0008375407,0.002253399,0.002047942,0.001134965,0.0734005],"category_scores_gemma":[0.004130608,0.0008110506,0.001533668,0.001978231,0.0004031154,0.001973023,0.001308312,0.001687763,0.07146852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439257,"about_ca_system_score_gemma":0.0008967081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314498,"about_ca_topic_score_gemma":0.00437299,"domain_scores_codex":[0.9985377,0.0003000735,0.00006055916,0.0004018875,0.0005807498,0.0001190148],"domain_scores_gemma":[0.9985379,0.0005854672,0.00006536864,0.0003930832,0.000347387,0.0000708853],"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":[0.0001121989,0.0001307236,0.0006522289,0.0004114774,0.000144545,0.0001003189,0.00005695434,0.02147305,0.003145131,0.05717362,0.2968336,0.6197662],"study_design_scores_gemma":[0.00006204169,0.0000743261,0.0007889297,0.0002312185,0.0001158112,0.0005797431,0.00005856398,0.1755658,0.009497753,0.1792925,0.6336591,0.00007435559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002224691,0.002016836,0.8850738,0.0004265046,0.0007087463,0.00026087,0.006874861,0.01879433,0.08361936],"genre_scores_gemma":[0.03256727,0.00184027,0.8057572,0.0008518379,0.0004756382,0.000513213,0.02264339,0.006311033,0.1290401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0734005,"threshold_uncertainty_score":0.2455491,"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."}}