{"id":"W1830646445","doi":"10.24908/pceea.v0i0.4862","title":"CASE STUDY IN SYSTEMATIC DESIGN ENGINEERING – STAGE BARGE GANGWAY","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Scope (computer science); BARGE; Engineering design process; Process (computing); Computer science; Heuristic; Systems engineering; Stage (stratigraphy); Engineering; Marine engineering; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006585229,0.0004435424,0.0003729298,0.000789187,0.003341709,0.001620543,0.00138178,0.003086188,0.004762553],"category_scores_gemma":[0.008294642,0.0003111297,0.0005962427,0.001596772,0.002816252,0.001505976,0.002095939,0.001526807,0.00064884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102257,"about_ca_system_score_gemma":0.003279275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035029,"about_ca_topic_score_gemma":0.01036746,"domain_scores_codex":[0.9903285,0.007478438,0.0002565186,0.0003395088,0.001277252,0.0003197923],"domain_scores_gemma":[0.9912127,0.00646031,0.0003154582,0.0007457285,0.0008084214,0.0004573971],"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":[0.001024946,0.004919054,0.01909905,0.003387478,0.000163943,0.04560814,0.1288162,0.0679046,0.02220045,0.3709134,0.03461215,0.3013507],"study_design_scores_gemma":[0.0005617514,0.004514176,0.0128363,0.001710467,0.00006580293,0.02141025,0.1000963,0.03737039,0.0257619,0.1074802,0.6879366,0.0002559344],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5449927,0.002027623,0.297161,0.005501215,0.0002536708,0.003316405,0.0003523199,0.0002085917,0.1461865],"genre_scores_gemma":[0.7820907,0.000852046,0.1965169,0.0006004018,0.0000320935,0.0008003238,0.0001695091,0.00004185187,0.01889624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.996965,"threshold_uncertainty_score":0.0348264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008507605921495154,"score_gpt":0.1920063657133325,"score_spread":0.1834987597918374,"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."}}