{"id":"W2051626163","doi":"10.1080/10429247.2001.11415102","title":"Aligning Technical and Business Goals in Industry-University Collaborative R&D Projects: A Tale of Two Projects","year":2001,"lang":"en","type":"article","venue":"Engineering Management Journal","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Ontario","keywords":"Commercialization; Business; Engineering management; Knowledge management; Process management; Engineering; Marketing; Computer science","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.03219322,0.0007228877,0.0004736965,0.002194352,0.008487281,0.01336744,0.001529868,0.00478925,0.001505581],"category_scores_gemma":[0.03603377,0.0005528827,0.0006362612,0.003066675,0.005958131,0.008679505,0.01448646,0.003530645,0.0005570894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004697654,"about_ca_system_score_gemma":0.009115627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774914,"about_ca_topic_score_gemma":0.002473401,"domain_scores_codex":[0.9583266,0.03346794,0.0008787604,0.0008512674,0.00367558,0.002799863],"domain_scores_gemma":[0.9729409,0.01355712,0.002092025,0.002384483,0.003503098,0.005522395],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005533222,0.003117608,0.03761882,0.0007541555,0.0001037175,0.001994831,0.1186784,0.006763569,0.004485166,0.3156384,0.01101838,0.4992736],"study_design_scores_gemma":[0.0004286894,0.002296204,0.05060578,0.0009911685,0.0001186735,0.002388766,0.4425283,0.01992901,0.01589488,0.2628496,0.2016072,0.0003617069],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7956761,0.003929039,0.100757,0.02620412,0.000361035,0.001117402,0.00005671161,0.0001984493,0.0717002],"genre_scores_gemma":[0.9350224,0.001176714,0.05777512,0.0006229931,0.00004116604,0.000631464,0.00006949595,0.00005706548,0.004603621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9915127,"threshold_uncertainty_score":0.1702561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170155456282446,"score_gpt":0.2309162228088983,"score_spread":0.2139006771806538,"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."}}