{"id":"W2592340788","doi":"10.24963/ijcai.2017/497","title":"Deep Forest: Towards An Alternative to Deep Neural Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":900,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Deep neural networks; Deep learning; Artificial neural network; Machine learning; Process (computing); Contrast (vision); Decision tree; Scale (ratio); Range (aeronautics); Training set; Training (meteorology); Engineering","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":[0.00009440321,0.00009392325,0.00008522365,0.00004247329,0.0004905269,0.0004685929,0.001596424,0.00004145546,0.00002579594],"category_scores_gemma":[0.00001314825,0.00008060162,0.00004484374,0.00008199137,0.0000339524,0.000619127,0.0004215745,0.00008553614,0.00002845098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193807,"about_ca_system_score_gemma":0.000007063163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003902759,"about_ca_topic_score_gemma":0.0005290898,"domain_scores_codex":[0.9992388,0.00001425371,0.0001161313,0.0003169891,0.0001142,0.000199602],"domain_scores_gemma":[0.9986067,0.00000950966,0.00007491274,0.001074324,0.00007361527,0.0001609103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003354879,0.00004059411,0.000974833,8.615774e-7,0.000006572957,0.000004801013,0.0001984463,0.01151292,0.00003405555,0.2218053,0.0002797519,0.7651385],"study_design_scores_gemma":[0.00005527355,0.0001123293,0.01586147,0.00000105997,0.000001499169,0.000006899863,0.000008788234,0.9735043,0.0007462307,0.008009483,0.001574138,0.000118535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007375383,0.000006118111,0.9798175,0.001581401,0.0001484545,0.0001935119,2.70154e-7,0.0003195232,0.01055783],"genre_scores_gemma":[0.8972924,0.000003081924,0.101292,0.0008263561,0.0001442335,0.0000788352,7.097738e-7,0.000006348358,0.0003560174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9619914,"threshold_uncertainty_score":0.4518652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349395584424253,"score_gpt":0.3018875314788779,"score_spread":0.2783935756346353,"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."}}