{"id":"W4280525635","doi":"10.3390/analytics1010001","title":"Analytics Capability and Firm Performance in Supply Chain Organizations: The Role of Employees’ Analytics Skills","year":2022,"lang":"en","type":"article","venue":"Analytics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Carleton University","funders":"","keywords":"Analytics; Supply chain; Business; Business analytics; Process (computing); Supply chain management; Software analytics; Investment (military); Process management; Data science; Computer science; Marketing; Business model; Software; Business analysis","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":[0.0007028968,0.0001923485,0.0002931786,0.0003591799,0.000339811,0.0001183401,0.0005890724,0.00005427178,0.0005012144],"category_scores_gemma":[0.0003702508,0.0001600824,0.00005040547,0.003258613,0.0002049474,0.0005018674,0.0006438382,0.0002886617,0.00001461045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006495834,"about_ca_system_score_gemma":0.00007118619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007249072,"about_ca_topic_score_gemma":0.0005395245,"domain_scores_codex":[0.9984296,0.00002539129,0.0005173191,0.0003110672,0.0004216874,0.0002949146],"domain_scores_gemma":[0.9986807,0.0001201978,0.0002767901,0.0005739376,0.0003328728,0.00001552873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001370041,0.0002625252,0.9761764,0.0001012599,0.00003135641,0.000002955335,0.0001955174,0.01247054,0.0000335298,0.007495619,0.000586601,0.002629994],"study_design_scores_gemma":[0.000395156,0.00004952462,0.4315859,0.00005467604,0.0002965767,0.000008131214,0.003030268,0.4840954,0.0002671519,0.006075545,0.07363736,0.0005043091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961154,0.0003581897,0.0004215301,0.0009009991,0.0001432358,0.0002735677,0.00005182294,0.00003832543,0.001696857],"genre_scores_gemma":[0.9987247,0.000199831,0.00007846925,0.0004757711,0.0001394438,0.00001024183,0.0001112908,0.00002403309,0.0002362096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5445905,"threshold_uncertainty_score":0.652797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809556815865919,"score_gpt":0.2428418190477305,"score_spread":0.2247462508890713,"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."}}