{"id":"W2113099002","doi":"10.1016/j.compind.2012.03.007","title":"Product decomposition using design structure matrix for intellectual property protection in supply chain outsourcing","year":2012,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Outsourcing; Intellectual property; Supply chain; Risk analysis (engineering); Profitability index; Leakage (economics); Information leakage; Business; New product development; Product design; Product (mathematics); Computer science; Computer security; Economics; Marketing; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001319588,0.0007783062,0.0005760989,0.0008481701,0.0004522453,0.0006664898,0.0003752534,0.0004940597,0.006682382],"category_scores_gemma":[0.003538967,0.0003632059,0.0009661271,0.0008576457,0.0003185257,0.0006429421,0.0004397916,0.0006943723,0.0006592325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005599171,"about_ca_system_score_gemma":0.001627506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005174646,"about_ca_topic_score_gemma":0.005921984,"domain_scores_codex":[0.9991487,0.0004143761,0.00002875095,0.0001049882,0.0002162293,0.00008700271],"domain_scores_gemma":[0.9984528,0.0008082913,0.0001053648,0.0001624878,0.0004352581,0.00003578808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002944088,0.0002733661,0.002060485,0.0003206017,0.0001172018,0.0001789376,0.0002019714,0.6101903,0.0142959,0.03708575,0.004047711,0.3309334],"study_design_scores_gemma":[0.00001794041,0.0000978478,0.0005263716,0.00001264358,0.00002702348,0.00002186914,0.00003603941,0.9882991,0.002143862,0.00767294,0.001135237,0.000009197698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02062162,0.00007964963,0.9766272,0.0000671662,0.00001792506,0.00006686225,0.0001028608,0.0002271956,0.002189495],"genre_scores_gemma":[0.4143017,0.0001555812,0.5816706,0.00004089333,0.00001975855,0.0002127066,0.0003960829,0.0001175814,0.003085025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006682382,"threshold_uncertainty_score":0.02235484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04685903697161294,"score_gpt":0.2620797231873732,"score_spread":0.2152206862157602,"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."}}