{"id":"W4415999721","doi":"10.5465/amproc.2025.10143symposium","title":"One Decade of Algorithmic Management: Reflections on Progress, Impact, and Future Trajectories","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Key (lock); Field (mathematics); Chart; Panel discussion; Action (physics); Organizational chart","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":[0.03066414,0.0007153057,0.0008701758,0.003635082,0.003519844,0.01638623,0.002044873,0.006525488,0.008689838],"category_scores_gemma":[0.03892215,0.0004464452,0.0006392627,0.004450088,0.02215383,0.02596451,0.007108174,0.01228926,0.001406357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252078,"about_ca_system_score_gemma":0.01192659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003775173,"about_ca_topic_score_gemma":0.004876484,"domain_scores_codex":[0.9900832,0.00514364,0.0005933361,0.0007812391,0.002364771,0.001033762],"domain_scores_gemma":[0.9391663,0.04728986,0.002164874,0.002140441,0.006113107,0.003125391],"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":[0.0001348651,0.0001271669,0.001095251,0.001085506,0.00002102189,0.00008799134,0.007892298,0.0005975058,0.0002149722,0.7555073,0.07608159,0.1571546],"study_design_scores_gemma":[0.00001549182,0.00009606651,0.001678765,0.004140138,0.000008406296,0.000174574,0.01204755,0.0004777473,0.0003177873,0.2102109,0.7707857,0.00004682645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01074929,0.4428762,0.006472202,0.4693179,0.007542401,0.00003757404,0.0001458813,0.00005737603,0.06280124],"genre_scores_gemma":[0.3483111,0.541324,0.009714297,0.07064039,0.01149784,0.0001988789,0.0003084334,0.0002677565,0.01773733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03066414,"threshold_uncertainty_score":0.1621695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392100325202681,"score_gpt":0.3993513533279471,"score_spread":0.360141320807679,"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."}}