{"id":"W3159078732","doi":"10.1111/deci.12524","title":"Retail inventory shrinkage, sensing weak security breach signals, and organizational structure","year":2021,"lang":"en","type":"article","venue":"Decision Sciences","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business; Shrinkage; Guard (computer science); Competition (biology); Marketing; Computer science","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":[0.0019037,0.0002204318,0.0002390934,0.001461546,0.000673982,0.002222511,0.0006919262,0.0004100124,0.00313101],"category_scores_gemma":[0.0179132,0.0001872382,0.000212997,0.001282382,0.001319544,0.001296163,0.00179627,0.0007359016,0.0004059474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010311,"about_ca_system_score_gemma":0.0007462121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047125,"about_ca_topic_score_gemma":0.01343998,"domain_scores_codex":[0.9985058,0.0004980877,0.0001228981,0.0002637532,0.0003708883,0.000238625],"domain_scores_gemma":[0.9719491,0.01073489,0.0100968,0.003204004,0.002869402,0.001145762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007049769,0.0001120477,0.9880446,0.00002650957,0.00003051312,0.00004121846,0.001424792,0.001910836,0.0003344521,0.001457044,0.0005949074,0.00595259],"study_design_scores_gemma":[0.000008643536,0.00008674921,0.9800321,0.00004050195,0.00001619938,0.00004437803,0.007131744,0.008545839,0.0004345874,0.002295018,0.001346832,0.00001744854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965192,0.00002442373,0.00105932,0.0001268127,0.000002098218,0.00001485502,0.0002871126,0.00001215347,0.001954024],"genre_scores_gemma":[0.9991238,0.00001054174,0.0003428562,0.00001550166,0.000002719172,0.00001210947,0.0003247692,0.000001732623,0.0001660099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01047125,"threshold_uncertainty_score":0.02082062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873779853602266,"score_gpt":0.2532951564572476,"score_spread":0.2345573579212249,"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."}}