{"id":"W2518858664","doi":"10.1115/1.4034673","title":"Architecture, Performance, and Investment in Product Development Networks","year":2016,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Modular design; New product development; Architecture; Resource allocation; Product (mathematics); Resource (disambiguation); Computer science; Product design; Investment (military); Systems engineering; Industrial engineering; Engineering; Business; Marketing; Mathematics","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":[0.002795433,0.0006217174,0.000287258,0.0008973531,0.0005525195,0.002381904,0.0005434368,0.000839348,0.002534247],"category_scores_gemma":[0.01452051,0.0004079743,0.0002161076,0.001045078,0.001245903,0.003624209,0.001115794,0.000656128,0.0002252773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004337888,"about_ca_system_score_gemma":0.001159452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003487379,"about_ca_topic_score_gemma":0.004038051,"domain_scores_codex":[0.9984724,0.0009124852,0.00004881866,0.000144784,0.0002122334,0.0002092581],"domain_scores_gemma":[0.9916156,0.005510068,0.001621645,0.0003255567,0.00057992,0.0003472502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002142885,0.0001475616,0.01979561,0.00005052695,0.00003201944,0.00009908463,0.000216293,0.8963051,0.001892471,0.05696457,0.0003135493,0.02396895],"study_design_scores_gemma":[0.00004637975,0.0003416612,0.0153498,0.00003166944,0.00004678566,0.00007200398,0.0004333437,0.9176801,0.002481007,0.06166194,0.001824965,0.00003036175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425085,0.0004095698,0.03813817,0.0005261491,0.000008546193,0.00005838253,0.00007216668,0.00005232897,0.01822626],"genre_scores_gemma":[0.9930681,0.0001534609,0.005465433,0.00001404574,0.000003327895,0.00002238762,0.00003386896,0.000007731125,0.00123183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004337888,"threshold_uncertainty_score":0.03147376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194428533557219,"score_gpt":0.1927433810729333,"score_spread":0.1733005277172114,"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."}}