{"id":"W7019161870","doi":"","title":"Extreme Customization : Proceedings of the MCPC 2007 World Conference on Mass Customization and Personalization; October 7-9, 2007 at the Massachusetts Institute of Technology; October 11-12, 2007 at the HEC Business School Montreal","year":2007,"lang":"en","type":"article","venue":"RWTH Publications (RWTH Aachen)","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mass customization; Personalization; Work (physics); Standardization; Doors","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00153941,0.0004201557,0.0003511001,0.0009471031,0.001197372,0.0002963279,0.0008388166,0.0002545723,0.0009444289],"category_scores_gemma":[0.001046639,0.0002717665,0.00009287219,0.004673714,0.000686542,0.00197883,0.0004554285,0.0003085447,0.0001126798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193092,"about_ca_system_score_gemma":0.0001999347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002371201,"about_ca_topic_score_gemma":0.002073407,"domain_scores_codex":[0.997083,0.00002841571,0.0008906032,0.0006596898,0.0008062648,0.0005320227],"domain_scores_gemma":[0.9955241,0.00008132558,0.001267217,0.000665715,0.002409777,0.00005187578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002325196,0.000327407,0.6723478,0.0002640162,0.0001197957,5.376617e-7,0.0003252547,0.000650609,0.001372032,0.05501606,0.2651928,0.004151171],"study_design_scores_gemma":[0.001902467,0.00001045748,0.5329312,0.0002110294,0.0003211841,0.000009179201,0.0004965128,0.005561088,0.00112324,0.001041383,0.4557978,0.0005944506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5887519,0.001537606,0.01895156,0.1206802,0.002976369,0.00854575,0.0001150052,0.001027826,0.2574139],"genre_scores_gemma":[0.9400435,0.0001320357,0.0006149709,0.001809662,0.0007937682,0.0002216173,0.000504473,0.000088018,0.05579195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512917,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544338495602563,"score_gpt":0.2175086832559281,"score_spread":0.1920652982999025,"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."}}