{"id":"W4405395423","doi":"10.2139/ssrn.5056824","title":"Towards Better Recommendations: Integrating Counterfactual Learning and Trust Regions in Digital Platforms","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Counterfactual thinking; Computer science; Data science; Psychology; Social 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":[0.0610281,0.001321656,0.00292452,0.002626912,0.001387165,0.009691817,0.004579065,0.004899899,0.005884546],"category_scores_gemma":[0.3070097,0.001297577,0.001926235,0.00324753,0.005304936,0.02333862,0.005330769,0.007170766,0.0006186238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053591,"about_ca_system_score_gemma":0.002814906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563394,"about_ca_topic_score_gemma":0.004884532,"domain_scores_codex":[0.9598526,0.03107742,0.001340854,0.004515344,0.002629913,0.0005839446],"domain_scores_gemma":[0.5118868,0.4303177,0.01798785,0.02968309,0.008308675,0.001815779],"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":[0.002070148,0.001333201,0.04130344,0.001067301,0.001320904,0.0005318004,0.00385551,0.2960247,0.001678927,0.5048991,0.003302944,0.1426121],"study_design_scores_gemma":[0.0001088899,0.0001768525,0.001701245,0.00009546012,0.0001400694,0.00006805365,0.0002771162,0.6103794,0.0007015781,0.3854657,0.0008346023,0.00005107278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1694504,0.0008573112,0.8185329,0.004907191,0.0001397358,0.0001752056,0.000338376,0.0003821023,0.00521679],"genre_scores_gemma":[0.8685051,0.0002678037,0.1295255,0.0003421583,0.0001144794,0.0001692771,0.00026828,0.00006532128,0.0007421203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0610281,"threshold_uncertainty_score":0.3227513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01597203590687109,"score_gpt":0.3088240197057398,"score_spread":0.2928519837988687,"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."}}