{"id":"W6889648030","doi":"10.25740/sp436mp2435","title":"En-tienda: Simulate Your Success","year":2022,"lang":"en","type":"article","venue":"Stanford Digital Repository","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Key (lock); Interface (matter); Quarter (Canadian coin); Grocery store; Cabinet (room); Best practice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001743569,0.0009966191,0.0002587324,0.000617982,0.001200069,0.003771376,0.001779165,0.001520608,0.03380261],"category_scores_gemma":[0.005771947,0.0002970925,0.000486131,0.0003966603,0.0007213205,0.004124854,0.004149027,0.001980855,0.02032995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000729481,"about_ca_system_score_gemma":0.001308612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937604,"about_ca_topic_score_gemma":0.01098758,"domain_scores_codex":[0.9988714,0.0004287447,0.00003128404,0.0001188136,0.0003156956,0.0002340129],"domain_scores_gemma":[0.9972145,0.0005294858,0.00011431,0.0002986413,0.0005845815,0.001258359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005819201,0.002796563,0.01783441,0.0005887998,0.00004341191,0.001162047,0.004670184,0.009135187,0.004269138,0.02643506,0.7388506,0.1936327],"study_design_scores_gemma":[0.000145776,0.0009337847,0.004229945,0.0003041366,0.00003947453,0.000595103,0.004361788,0.02395573,0.003187396,0.01516266,0.9469647,0.0001194448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2568302,0.001991387,0.09553997,0.0378452,0.006936578,0.001786601,0.007642984,0.02313362,0.5682935],"genre_scores_gemma":[0.4804609,0.002732461,0.1874934,0.008001242,0.0006831754,0.002401411,0.01229552,0.004390382,0.3015416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03380261,"threshold_uncertainty_score":0.113081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006284734010651018,"score_gpt":0.2045003314966161,"score_spread":0.198215597485965,"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."}}