{"id":"W2132165152","doi":"10.1109/hicss.2006.105","title":"Cross-Border E-Collaboration for New Product Development in the Automotive Industry","year":2006,"lang":"en","type":"article","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Automotive industry; New product development; Product (mathematics); Knowledge management; Business; Empirical examination; Empirical research; Engineering; Computer science; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260054,0.0001116008,0.00008056421,0.0002008207,0.0001676515,0.0005199845,0.0001368219,0.00005705682,0.0003401819],"category_scores_gemma":[0.00008707751,0.00007921697,0.00001721769,0.001126476,0.00001639301,0.0005050123,0.00005089722,0.0001017098,0.0001508129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004531074,"about_ca_system_score_gemma":0.00007160793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340593,"about_ca_topic_score_gemma":0.001146398,"domain_scores_codex":[0.9991609,0.000004546964,0.0002767727,0.0002054238,0.0001648398,0.0001874691],"domain_scores_gemma":[0.9993456,0.00001346316,0.0001001675,0.0001324013,0.0004058262,0.00000254925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002951077,0.0002388001,0.02802366,0.0001014583,0.00001376407,0.000001601765,0.0004119432,0.0001572195,0.00004663218,0.7977203,0.1511796,0.02207547],"study_design_scores_gemma":[0.0006870329,0.000002953697,0.06445071,0.000009818764,0.000005118995,1.447783e-7,0.0008872508,0.0003726508,0.000305148,0.002849767,0.9302772,0.000152201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1282864,0.00002672268,0.001987434,0.009991975,0.0005314006,0.001498988,5.373662e-7,0.0001354645,0.8575411],"genre_scores_gemma":[0.9176489,1.355041e-7,0.001701241,0.006212458,0.001839928,0.0001493287,0.00009021117,0.00001564922,0.07234219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7948706,"threshold_uncertainty_score":0.5014223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964067267163394,"score_gpt":0.3208878851816975,"score_spread":0.3012472125100636,"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."}}