{"id":"W4286901498","doi":"","title":"SHAFF: Fast and consistent SHApley eFfect estimates via random Forests","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Random forest; Mathematics; Econometrics; Economics; Mathematical economics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01106003,0.002335577,0.003118945,0.003771844,0.001624081,0.003699188,0.003954175,0.003316474,0.0169695],"category_scores_gemma":[0.07069844,0.001686328,0.002371831,0.003236535,0.002964582,0.009156099,0.006387234,0.00615923,0.003522625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581144,"about_ca_system_score_gemma":0.002663156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033957,"about_ca_topic_score_gemma":0.003076532,"domain_scores_codex":[0.9932394,0.003959591,0.0002256646,0.0008830149,0.001289462,0.0004028911],"domain_scores_gemma":[0.9620209,0.02910825,0.00099883,0.005163895,0.001809501,0.0008985831],"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":[0.0008855535,0.0003302837,0.002116496,0.0005916916,0.000407295,0.0001647879,0.000286793,0.1595558,0.002685116,0.6176401,0.03389666,0.1814394],"study_design_scores_gemma":[0.0000923344,0.00003801022,0.0002082021,0.00004664514,0.00003262958,0.00003453339,0.0000193337,0.2400116,0.0005915517,0.7573112,0.001587943,0.00002603984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01434506,0.0007255913,0.9752672,0.001131936,0.0002723169,0.0001518728,0.0006059967,0.001750939,0.005749043],"genre_scores_gemma":[0.3882618,0.001009851,0.5920202,0.00124497,0.000880999,0.0006677547,0.002056554,0.00180846,0.01204947],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0169695,"threshold_uncertainty_score":0.05849171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376726174661388,"score_gpt":0.2407751770658142,"score_spread":0.2270079153192003,"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."}}