{"id":"W2197632807","doi":"","title":"The problem of agency; how humans act, how machines act","year":2003,"lang":"en","type":"article","venue":"Cambridge University Engineering Department Publications Database","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Actor–network theory; Determinism; Technological determinism; Action (physics); Structuration theory; Principal–agent problem; Sociology; Epistemology; Business; Knowledge management; Public relations; Law and economics; Corporate governance; Economics; Management; Political science; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007058973,0.00009565506,0.00009012919,0.0001443828,0.0009288257,0.0001841665,0.0003070058,0.00003143286,0.00002419163],"category_scores_gemma":[0.0001810151,0.00008862381,0.00005574867,0.0005216116,0.00009393331,0.001307934,0.00004231508,0.00007016671,0.00000687384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824226,"about_ca_system_score_gemma":0.0001730123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009885277,"about_ca_topic_score_gemma":0.0001158276,"domain_scores_codex":[0.9991296,0.0001126278,0.0001312562,0.0001258437,0.0002581243,0.0002425751],"domain_scores_gemma":[0.999062,0.0001196275,0.0001590596,0.000321436,0.0002380953,0.00009975395],"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":[0.000002999952,0.00002351588,0.0009564386,0.000020596,0.00003644477,4.748285e-7,0.0008254261,0.00004036936,0.0001547854,0.9693283,0.02809605,0.0005146319],"study_design_scores_gemma":[0.0001969431,0.00001142954,0.001339196,0.000007326373,0.00002015041,9.312048e-7,0.002962518,0.0001681649,0.0002177561,0.000005079868,0.9949683,0.0001022004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3493509,0.0004936367,0.3548164,0.03391849,0.001712748,0.006150955,0.00488104,0.001271779,0.2474041],"genre_scores_gemma":[0.9781396,0.0002254262,0.003635978,0.00002450631,0.00006208038,0.00001901301,0.0008838924,0.00001119239,0.01699835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9693232,"threshold_uncertainty_score":0.714387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757082912089009,"score_gpt":0.2462287630036651,"score_spread":0.228657933882775,"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."}}