{"id":"W2157279120","doi":"10.24908/pceea.v0i0.3752","title":"A PEER REVIEWED ONLINE COMPUTATIONAL MODELING FRAMEWORK","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Data science; Set (abstract data type); Computational model; Intellectual property; Embodied cognition; Work (physics); Discipline; Pillar; Knowledge management; Engineering; Simulation; Artificial intelligence","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":[0.02672691,0.001147142,0.001699717,0.007083388,0.004083582,0.01510746,0.01347624,0.006034675,0.05240744],"category_scores_gemma":[0.06399941,0.001120889,0.00156657,0.006760319,0.003900639,0.01697807,0.009204946,0.002810394,0.02736127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004384072,"about_ca_system_score_gemma":0.01237205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006702971,"about_ca_topic_score_gemma":0.006140888,"domain_scores_codex":[0.9724898,0.009599571,0.001672423,0.002939214,0.01215903,0.001139909],"domain_scores_gemma":[0.9266356,0.02063389,0.003578701,0.0265979,0.01906812,0.00348574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000544206,0.0001235462,0.0004476676,0.0002044875,0.00003809205,0.0003383749,0.0004617256,0.01800996,0.0004201488,0.8863396,0.03229247,0.06126963],"study_design_scores_gemma":[0.00006861358,0.00007532514,0.0001839123,0.0002050722,0.00003835341,0.0004923532,0.0002893337,0.09623332,0.0009576861,0.4453011,0.4560657,0.00008905359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003291279,0.001047013,0.8485878,0.007453256,0.0009335456,0.00122955,0.001457599,0.003945095,0.1320549],"genre_scores_gemma":[0.1491576,0.002413864,0.6614064,0.001184418,0.00173598,0.001990778,0.00335178,0.002051129,0.1767081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05240744,"threshold_uncertainty_score":0.1753204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0870713050841615,"score_gpt":0.3408745246150222,"score_spread":0.2538032195308607,"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."}}