{"id":"W4391759521","doi":"10.2139/ssrn.4722923","title":"A General Framework for Robust Individualized Decision Learning with Sensitive Variables","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Psychology","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":[0.01254238,0.001687931,0.002758196,0.001692705,0.0008567574,0.003084249,0.004703767,0.002526636,0.006899459],"category_scores_gemma":[0.02780049,0.001066529,0.002430613,0.002284944,0.002458349,0.003890862,0.004166475,0.003830207,0.001325899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018888,"about_ca_system_score_gemma":0.002895355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003414094,"about_ca_topic_score_gemma":0.002449865,"domain_scores_codex":[0.9933708,0.003062693,0.0003430411,0.001169259,0.001653202,0.0004009219],"domain_scores_gemma":[0.9899647,0.0070667,0.0006079503,0.0009792278,0.001176592,0.0002048488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000511512,0.00007119706,0.0002787533,0.0001734338,0.0001535419,0.0001187981,0.0001409468,0.4942874,0.0008566994,0.451283,0.001792832,0.05079234],"study_design_scores_gemma":[0.0000161079,0.00005007358,0.00008702202,0.00002975009,0.0000264484,0.00003292237,0.00001341787,0.7529033,0.0003427323,0.244911,0.001567693,0.00001939292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004468195,0.00005402282,0.998709,0.00008970006,0.00001130921,0.00002065619,0.00002162246,0.00003997234,0.0006068904],"genre_scores_gemma":[0.1854524,0.0005952046,0.807137,0.0003664303,0.0002417277,0.0006349264,0.0002904359,0.0001497324,0.005132236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01254238,"threshold_uncertainty_score":0.06633127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513379295182002,"score_gpt":0.3888471682020371,"score_spread":0.323713375250217,"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."}}