{"id":"W7048588037","doi":"","title":"Manufacturing practices and servitization: The role of mass customization and product innovation capabilities","year":2017,"lang":"en","type":"article","venue":"Research Portal (Queen's University Belfast)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mass customization; Product (mathematics); Innovation management; Product innovation; New product development; Personalization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004403371,0.000296578,0.000220932,0.001901201,0.001535114,0.01070107,0.0008935474,0.001264221,0.01125974],"category_scores_gemma":[0.01268638,0.0003033942,0.0002971706,0.002802274,0.006673472,0.00702165,0.003537155,0.001239265,0.0007380353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004187602,"about_ca_system_score_gemma":0.002894983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00560105,"about_ca_topic_score_gemma":0.007255277,"domain_scores_codex":[0.9966871,0.001491182,0.0001477031,0.0004369892,0.000739785,0.0004973137],"domain_scores_gemma":[0.9747342,0.01585311,0.004477878,0.001985284,0.0009850489,0.001964374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000483954,0.0006959739,0.2165458,0.0003890894,0.0001245836,0.0008373219,0.06451145,0.003015178,0.004223407,0.4048965,0.003752538,0.3005242],"study_design_scores_gemma":[0.00005493608,0.0004397307,0.5072334,0.0009300567,0.00007117526,0.0008539782,0.1153657,0.006949259,0.00281762,0.265577,0.09956756,0.0001397069],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7558686,0.002676505,0.005515373,0.006300634,0.00005128861,0.00004060289,0.00009476393,0.00008756778,0.2293648],"genre_scores_gemma":[0.9970758,0.0003662739,0.0004712511,0.00007878563,0.00001390292,0.000005951979,0.00001654204,0.00001296214,0.00195847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01125974,"threshold_uncertainty_score":0.03766757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370567793458075,"score_gpt":0.286172123663809,"score_spread":0.2624664457292282,"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."}}