{"id":"W2115939711","doi":"","title":"EFFECTIVE LEARNING OF BUCKLING OF COLUMNS IN ENGINEERING PROGRAMS","year":2010,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Buckling; Statics; Structural engineering; Engineering economics; Differential (mechanical device); Work (physics); Applied mechanics; Engineering; Computer science; Mathematics education; Mathematics; Mechanical engineering; Economics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217415,0.000128262,0.0002214677,0.0002066828,0.00001109812,0.000009961187,0.0001046371,0.0001084352,0.00003870636],"category_scores_gemma":[0.000163717,0.0001503342,0.00004880227,0.0003250058,0.00002088808,0.00006500132,0.00001720197,0.0004768899,0.000008284825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002768639,"about_ca_system_score_gemma":0.00001904189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005811723,"about_ca_topic_score_gemma":0.0001213194,"domain_scores_codex":[0.9993501,0.00001300814,0.000203588,0.0001146381,0.0001058381,0.000212844],"domain_scores_gemma":[0.9995763,0.0001255925,0.00003912342,0.0001593576,0.00004048039,0.00005910037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009919413,0.00007856536,0.04321856,0.0007644405,0.00004900736,0.000003246428,0.005512293,0.6695012,0.2670812,0.001434313,0.00004511838,0.01230211],"study_design_scores_gemma":[0.001599366,0.0002806179,0.1611428,0.0007831689,0.00004400596,0.00002264492,0.001244903,0.5880147,0.2019641,0.0000342745,0.04388118,0.0009882773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994332,0.0001229265,0.003459315,0.00002515386,0.0006832089,0.0002177856,0.00000121971,0.0001865654,0.0009718427],"genre_scores_gemma":[0.9969891,0.00001364828,0.002695101,0.00000165991,0.0000727679,0.00003924393,0.000004626751,0.00004083899,0.0001429566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1179242,"threshold_uncertainty_score":0.6130449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005677027800151357,"score_gpt":0.2409987426495912,"score_spread":0.2353217148494399,"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."}}