{"id":"W2396715162","doi":"10.24908/pceea.v0i0.4046","title":"A DESCRIPTIVE MODEL OF THE DESIGNER'S PROBLEM-SOLVING ACTIVITY DURING THE LATER PHASES OF THE MECHANICAL ENGINEERING DESIGN PROCESS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering design process; Process (computing); Computer science; Conceptual design; Design process; Work (physics); Systems engineering; Software engineering; Engineering drawing; Engineering; Work in process; Human–computer interaction; Mechanical engineering; Operations management; Programming language","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":[0.002710294,0.001019041,0.0002851972,0.00182971,0.001299682,0.0040323,0.001960139,0.002031439,0.007033359],"category_scores_gemma":[0.005960848,0.0006788216,0.0005598195,0.00179246,0.003521211,0.005251548,0.0009377679,0.001987718,0.002775763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003209272,"about_ca_system_score_gemma":0.005491764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009113744,"about_ca_topic_score_gemma":0.01394421,"domain_scores_codex":[0.9979972,0.0009623283,0.0001802026,0.0003870978,0.0003531259,0.0001199693],"domain_scores_gemma":[0.9930983,0.004019155,0.000626732,0.00105623,0.0009993006,0.0002003162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004478956,0.001622127,0.02257728,0.001688535,0.00003301662,0.000919119,0.1063821,0.02779679,0.02041224,0.7268567,0.007339154,0.08392511],"study_design_scores_gemma":[0.0004963063,0.001774497,0.04182522,0.00241955,0.0001267904,0.004637931,0.08574483,0.1795681,0.02320004,0.2804604,0.3793886,0.0003577277],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.120906,0.0005769158,0.7675438,0.004520883,0.00007957228,0.002306526,0.002928823,0.0009583236,0.1001791],"genre_scores_gemma":[0.5580664,0.001083477,0.4015195,0.000632762,0.00002524989,0.00499125,0.002773768,0.0001667786,0.03074079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009113744,"threshold_uncertainty_score":0.02352887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205183679804901,"score_gpt":0.2054198936624067,"score_spread":0.1833680568643577,"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."}}