{"id":"W4255925389","doi":"10.1088/1757-899x/827/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Mass customization; Personalization; Clothing; Textile; Political science; Table of contents; Management; Library science; Public relations; Engineering; Business; Marketing; History; World Wide Web; Computer science; Psychology; Economics; Law","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":[0.0002564509,0.0001094423,0.0001171623,0.00007770747,0.0001462373,0.0007919789,0.0002028779,0.00002185816,0.0001629867],"category_scores_gemma":[0.000239411,0.0001005913,0.000005955624,0.0004421393,0.00009280611,0.002668275,0.0001754217,0.00003279651,0.00007908747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000983638,"about_ca_system_score_gemma":0.00004718548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001262594,"about_ca_topic_score_gemma":8.688776e-7,"domain_scores_codex":[0.999195,0.000001140579,0.0001305724,0.0002424389,0.0002033872,0.0002274101],"domain_scores_gemma":[0.9996935,0.00000245806,0.0000458095,0.00007637116,0.0001581834,0.00002374584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001427525,0.000002493955,0.0001013423,0.0001253017,0.000002099923,0.000001721897,0.0002047357,0.0001022632,0.9700365,0.02817303,0.0001805463,0.001055673],"study_design_scores_gemma":[0.0004837577,0.00003185673,0.01716012,0.0001101096,0.0000264942,0.000008325688,0.0006361575,0.01052772,0.8706439,0.0007966642,0.09865559,0.0009192837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934512,0.00001712419,0.0004764769,0.002840665,0.0004618427,0.0001141379,0.0000010874,0.0002102987,0.002427104],"genre_scores_gemma":[0.998504,0.0000139666,0.000424129,0.0005983449,0.0003991796,0.000007916155,0.000004203935,0.000008557809,0.00003968959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09939259,"threshold_uncertainty_score":0.7637071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702852548457629,"score_gpt":0.181704848371763,"score_spread":0.1646763228871868,"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."}}