{"id":"W2157186922","doi":"10.24908/pceea.v0i0.3663","title":"LEARNING PRODUCT DEVELOPMENT PROCESS MODELING FROM A REAL SCALE CASE","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); New product development; Process (computing); Product (mathematics); Task (project management); Tacit knowledge; Computer science; Knowledge management; Product design; Scale (ratio); Information model; Process management; Engineering; Software engineering; Marketing; Business; Systems engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001941753,0.0004867305,0.000314103,0.001060863,0.0008743227,0.001798821,0.001161729,0.001403428,0.004560536],"category_scores_gemma":[0.004423396,0.0003331765,0.0005593261,0.0009225431,0.000749754,0.001480354,0.001225333,0.001007773,0.0008244416],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055734,"about_ca_system_score_gemma":0.0009520135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572201,"about_ca_topic_score_gemma":0.004289992,"domain_scores_codex":[0.9985613,0.0006146253,0.00008028027,0.0002070055,0.0004165841,0.000120153],"domain_scores_gemma":[0.9960628,0.002779155,0.0001800057,0.0003687002,0.0004234693,0.0001858707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001187335,0.009174812,0.04771754,0.001753292,0.0001006393,0.02305229,0.0549083,0.2480997,0.04296092,0.05926207,0.01525547,0.4965277],"study_design_scores_gemma":[0.0004411982,0.00347136,0.03118,0.001093084,0.000128613,0.005709755,0.03732685,0.629088,0.06164789,0.03961757,0.1900518,0.0002438392],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608735,0.0003145795,0.1115087,0.001474131,0.00004250608,0.0004700077,0.0003321589,0.0002956102,0.02468893],"genre_scores_gemma":[0.8889175,0.0004640528,0.09938896,0.00008768251,0.00001968786,0.0003076283,0.0005868225,0.00006253014,0.01016499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979442,"threshold_uncertainty_score":0.01525646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452720150668237,"score_gpt":0.2070045153269323,"score_spread":0.1924773138202499,"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."}}