{"id":"W4406853580","doi":"10.2139/ssrn.5044674","title":"AI in Operations Management: Literature Review and Future Research","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Process management; Knowledge management; Management science; Business; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.001094587,0.00007194082,0.00009883547,0.0002845809,0.000117951,0.0001058244,0.0001102821,0.00005365139,0.00001107341],"category_scores_gemma":[0.00001231541,0.00006470947,0.00002012171,0.0008742416,0.00001158448,0.0001259283,0.00001821802,0.001912366,0.00000469391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358074,"about_ca_system_score_gemma":0.0001330993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001121794,"about_ca_topic_score_gemma":0.00007367965,"domain_scores_codex":[0.9989197,0.0000572419,0.0001500674,0.00009313595,0.0001010672,0.0006787484],"domain_scores_gemma":[0.9997866,0.000009948698,0.000005185299,0.00009355666,0.00007574623,0.00002900102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001086209,0.00005479517,0.000147361,0.00137471,0.0003239668,0.00003290752,0.0004345523,0.01943856,0.00002290311,0.7460321,0.005246857,0.2268804],"study_design_scores_gemma":[0.007019934,0.0003414345,0.002708851,0.01801767,0.0005058249,0.001662976,0.008913225,0.252882,0.00009662647,0.2985984,0.4074572,0.001795875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007833473,0.9596289,0.01507754,0.01762492,0.0003177265,0.0002820763,0.000001469779,0.00007315969,0.006210888],"genre_scores_gemma":[0.009441813,0.9844753,0.002439315,0.0006887059,0.0001683183,0.00001536023,0.000006517069,0.00001227766,0.002752382],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4474337,"threshold_uncertainty_score":0.8308386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005962724652220548,"score_gpt":0.288052700921767,"score_spread":0.2820899762695465,"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."}}