{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001576765,0.0001310412,0.000195719,0.0003826658,0.000218753,0.0001406947,0.0006893097,0.000162227,0.0002201441],"category_scores_gemma":[0.009778259,0.0001118775,0.0001367278,0.001236195,0.00001697586,0.0002850738,0.00004383104,0.0002491123,0.00003578933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000766357,"about_ca_system_score_gemma":0.000540591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971213,"about_ca_topic_score_gemma":0.0009996773,"domain_scores_codex":[0.9977768,0.00001137033,0.0006267664,0.0002680178,0.001092663,0.0002243619],"domain_scores_gemma":[0.9949748,0.0001929326,0.0005255038,0.0002037245,0.003904385,0.0001986777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007925676,0.0004386251,0.158217,0.0001280579,0.0001290975,8.736279e-8,0.007945986,0.05580477,0.0002414253,0.5894958,0.1737036,0.01388769],"study_design_scores_gemma":[0.0002215645,0.00002521929,0.1697131,0.0003170433,0.00008393611,0.000004902036,0.001283415,0.4530009,0.0003972611,0.2525576,0.1217973,0.0005977809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8001827,0.0006337228,0.05970377,0.07620984,0.004746851,0.003482939,0.0004163477,0.0007652866,0.05385855],"genre_scores_gemma":[0.9547537,0.000007111202,0.04093147,0.0006034867,0.0001469717,0.00005242569,0.00001298426,0.0000210911,0.003470731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3971961,"threshold_uncertainty_score":0.9985628,"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."}}