{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002891376,0.000121647,0.00009961788,0.00006087766,0.000184641,0.00009134749,0.0001456482,0.00002750776,0.00001988237],"category_scores_gemma":[0.00002236357,0.0001359204,0.00004444213,0.00009182221,0.00002212999,0.000219386,0.00009114451,0.0001770259,0.000006318855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929713,"about_ca_system_score_gemma":0.00001628385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003113042,"about_ca_topic_score_gemma":2.981734e-7,"domain_scores_codex":[0.9992642,0.000008264743,0.000179251,0.0001414503,0.0002036567,0.0002031549],"domain_scores_gemma":[0.999656,0.00004581595,0.00003130799,0.000187131,0.00001962234,0.00006013794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000136709,0.000013119,0.0002819275,0.00001878925,0.00001273642,0.00003363024,0.000119665,0.9952262,0.00005675588,0.0003306814,0.0001931302,0.003699709],"study_design_scores_gemma":[0.001685229,0.0004875926,0.00190389,0.00002549974,0.00005804378,0.0002326233,0.001708958,0.6115813,0.01170653,0.006166936,0.3625989,0.001844513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4685388,0.0006164777,0.1965288,0.00001651657,0.003471661,0.0003405627,0.0002264887,0.002150052,0.3281106],"genre_scores_gemma":[0.9955187,0.000004941292,0.0003659946,0.00001134477,0.00007716147,0.00001798927,0.00003515388,0.00003568143,0.003932974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.52698,"threshold_uncertainty_score":0.5542674,"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."}}