{"id":"W2464257012","doi":"10.1007/s10985-016-9372-1","title":"$$L_1$$ L 1 splitting rules in survival forests","year":2016,"lang":"en","type":"article","venue":"Lifetime Data Analysis","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Rank (graph theory); Log-rank test; Statistics; Mathematics; Hazard; Function (biology); Survival analysis; Survival function; Hazard ratio; Data mining; Computer science; Combinatorics; Biology; Confidence interval; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00420392,0.0004012656,0.0008431797,0.001374136,0.001114706,0.001369213,0.001756106,0.00105615,0.005383952],"category_scores_gemma":[0.01447175,0.0003705522,0.0007889272,0.001285476,0.0007198355,0.002646849,0.001063246,0.001821209,0.001794991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586301,"about_ca_system_score_gemma":0.001088857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285768,"about_ca_topic_score_gemma":0.004802865,"domain_scores_codex":[0.9983057,0.0005808785,0.0001617208,0.0003560775,0.0003953746,0.0002002915],"domain_scores_gemma":[0.9929901,0.004804823,0.0002906616,0.0007823434,0.0008654222,0.0002667029],"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":[0.000461665,0.0003550873,0.02243325,0.00030985,0.000129668,0.0003501764,0.0004080611,0.0929353,0.003630058,0.0865408,0.02272024,0.7697259],"study_design_scores_gemma":[0.00004087591,0.000114486,0.00330487,0.0001393291,0.00009898251,0.0004418874,0.000206736,0.6958594,0.003463471,0.2864133,0.009884244,0.00003233183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1113504,0.0008622634,0.8767093,0.001021521,0.0002011292,0.0001818443,0.001605802,0.0009549102,0.007112785],"genre_scores_gemma":[0.603874,0.0004498908,0.3828705,0.0004790738,0.0002101976,0.0002937798,0.004286361,0.0003461857,0.00718993],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005383952,"threshold_uncertainty_score":0.02223271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476203151519272,"score_gpt":0.2977364447300812,"score_spread":0.2629744132148885,"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."}}