{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005986431,0.0005324347,0.0007240389,0.0002408187,0.0005401428,0.00201356,0.002348637,0.0003288755,0.00007395012],"category_scores_gemma":[0.00285132,0.0005441351,0.0002908444,0.0005105217,0.0003890649,0.0004549601,0.004647145,0.0007159261,0.00005521627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133957,"about_ca_system_score_gemma":0.0003059921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818207,"about_ca_topic_score_gemma":0.004850377,"domain_scores_codex":[0.9922384,0.004439335,0.0007094697,0.001432823,0.0005817164,0.0005982388],"domain_scores_gemma":[0.9898921,0.004265347,0.0005009785,0.003078559,0.001929369,0.0003336414],"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":[0.0001167058,0.001646408,0.02846964,0.001874834,0.000696562,0.0003371985,0.047756,0.003262509,0.01465144,0.2479828,0.001600258,0.6516057],"study_design_scores_gemma":[0.0008134104,0.000002454299,0.004258127,0.002613589,0.00008568053,0.00009306301,0.0001313903,0.7467334,0.2323057,0.01121015,0.0008491116,0.0009038617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09996544,0.00255525,0.8838697,0.005525473,0.0004198079,0.0007650842,0.00001378366,0.0004127163,0.00647275],"genre_scores_gemma":[0.9042597,0.0003836808,0.09374397,0.000138635,0.00002352724,0.0001670433,0.0001657582,0.00004638661,0.001071284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8042943,"threshold_uncertainty_score":0.999701,"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."}}