{"id":"W2594620430","doi":"10.24908/pceea.v0i0.6476","title":"FROM MECHANICAL ENGINEERING CAPSTONE DESIGN TO DESIGN IMPLEMENTATION","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Capstone; Engineering design process; Capstone course; Systems engineering; Engineering management; Engineering education; Experiential learning; Computer science; Rapid prototyping; Engineering; Software engineering; Mechanical engineering; Mathematics education; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005554876,0.0002682154,0.000250944,0.0003513191,0.0002717319,0.0003127677,0.0007145207,0.0002064929,0.00008479709],"category_scores_gemma":[0.000873542,0.0002985245,0.00009236355,0.0002682382,0.000009420221,0.000369198,0.00004106782,0.0002915477,0.0000421666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221385,"about_ca_system_score_gemma":0.0004607921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008749604,"about_ca_topic_score_gemma":0.002173806,"domain_scores_codex":[0.9985185,0.000008174085,0.000394129,0.0002553353,0.0003498168,0.0004740921],"domain_scores_gemma":[0.9986134,0.0000987133,0.0002118652,0.0003150871,0.0003443158,0.0004166184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001523026,0.0001218801,0.009157049,0.0004451133,0.0007412734,7.397838e-7,0.007444846,0.4824328,0.1759999,0.01106979,0.3017843,0.01078713],"study_design_scores_gemma":[0.001361397,0.0001097599,0.3021484,0.0007374288,0.0003578213,0.00001282539,0.001556438,0.2093064,0.3467669,0.0007795418,0.1343406,0.002522459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957453,0.000567901,0.1315454,0.02334816,0.03650782,0.00557271,0.0003926098,0.002229336,0.00409082],"genre_scores_gemma":[0.9745698,0.00001365061,0.02391253,0.0001369725,0.0005638901,0.0001902652,0.00001491403,0.00009544707,0.0005025093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929913,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060179880713323,"score_gpt":0.2678790767518028,"score_spread":0.2472772779446696,"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."}}