{"id":"W2097523548","doi":"10.48550/arxiv.1302.4853","title":"Consistency of Online Random Forests","year":2013,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consistency (knowledge bases); Random forest; Computer science; Data science; Data mining; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00009106628,0.0001001358,0.0001652532,0.0001284373,0.00004503474,0.00002666067,0.001082474,0.00005080703,0.00004843148],"category_scores_gemma":[0.00005501872,0.0001022008,0.00006835737,0.0004323949,0.000116456,0.0006707269,0.0003830184,0.00007467194,0.00006407093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002460237,"about_ca_system_score_gemma":0.00005388981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002755808,"about_ca_topic_score_gemma":0.00007221738,"domain_scores_codex":[0.9992748,0.00004663002,0.0001327474,0.0003206847,0.00005073339,0.0001743842],"domain_scores_gemma":[0.9988048,0.0001156019,0.000110286,0.0007642048,0.0001267817,0.00007833149],"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":[0.00004929376,0.0005451603,0.1009614,0.00005366957,0.0001057119,0.0001983987,0.0003071427,0.0008957831,0.001325301,0.8615833,0.01399055,0.01998427],"study_design_scores_gemma":[0.005070928,0.0006456872,0.1485295,0.0001921211,0.00008537298,0.00003971575,0.0002308751,0.5708209,0.008659192,0.2620508,0.002648914,0.001025997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161428,0.00001356821,0.4803204,0.00008980124,0.00005771467,0.0001570722,0.00001131973,0.0002359011,0.00297136],"genre_scores_gemma":[0.9805474,0.00001811894,0.01890114,0.00005169243,0.000009346108,4.369192e-7,0.000006983475,0.00000499466,0.0004599215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5995325,"threshold_uncertainty_score":0.4167629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044808000416271,"score_gpt":0.1854984864079621,"score_spread":0.1350504064037994,"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."}}