{"id":"W2013041463","doi":"10.1504/ijmtm.2007.013325","title":"Building an adaptive manufacturing enterprise for the Hong Kong watchmaking industry","year":2007,"lang":"en","type":"article","venue":"International Journal of Manufacturing Technology and Management","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Hong Kong Polytechnic University","keywords":"Flexibility (engineering); Manufacturing engineering; New product development; Manufacturing; Business; Product (mathematics); Engineering; Process management; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001110123,0.0001779068,0.0001593136,0.001151005,0.0002548354,0.0002134077,0.0007384967,0.0001502629,0.0000191246],"category_scores_gemma":[0.00003957954,0.000136446,0.00006686059,0.0001195653,0.00007763354,0.001017015,0.0003994238,0.0003836887,0.000002737053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008372828,"about_ca_system_score_gemma":0.000007865514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008514916,"about_ca_topic_score_gemma":0.00001309857,"domain_scores_codex":[0.998734,0.000004936786,0.0004402409,0.0002257,0.0003238185,0.0002712794],"domain_scores_gemma":[0.9991316,0.00005826771,0.0004921226,0.0001521662,0.0001496157,0.00001624079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001023745,0.0001587044,0.006247547,0.0001192334,0.00111651,0.0002724864,0.0001483885,0.001416432,0.0003832954,0.1510238,0.001035059,0.8370548],"study_design_scores_gemma":[0.006903111,0.0001976852,0.1452651,0.001072268,0.0008136758,0.0003819302,0.006704932,0.002576882,0.1749621,0.1793325,0.4803921,0.001397826],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314509,0.0001523546,0.1611403,0.004025029,0.001798323,0.0003639128,7.958998e-7,0.0001007783,0.0009676247],"genre_scores_gemma":[0.9895328,0.00006932913,0.008565002,0.0006242991,0.001065578,0.00001035433,0.000002585483,0.00002026319,0.0001097843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.835657,"threshold_uncertainty_score":0.5564107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312860743659909,"score_gpt":0.2530841344765992,"score_spread":0.2399555270400001,"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."}}