{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009826148,0.0006895146,0.0004902979,0.0009109366,0.000897956,0.001848935,0.001383515,0.001046522,0.01138554],"category_scores_gemma":[0.004025846,0.0002609581,0.0002785361,0.0005439581,0.0004992615,0.001963906,0.004467969,0.001282015,0.002455003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050151,"about_ca_system_score_gemma":0.001604211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005405557,"about_ca_topic_score_gemma":0.001428191,"domain_scores_codex":[0.9985201,0.0003570249,0.00004137453,0.0002656181,0.0005896132,0.0002262918],"domain_scores_gemma":[0.9983445,0.0005365358,0.0001216355,0.0001586998,0.0002763935,0.0005622442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001813752,0.004223219,0.00451593,0.0007987154,0.00001903073,0.0004680138,0.008591423,0.002990694,0.02516363,0.02150495,0.03086551,0.9006776],"study_design_scores_gemma":[0.0002978726,0.002944484,0.0668919,0.001763951,0.000109739,0.002472739,0.01632679,0.02648127,0.09676712,0.1407041,0.6450788,0.0001611942],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5871661,0.00347086,0.157535,0.005455896,0.0005730018,0.001143641,0.0003891274,0.004491623,0.2397747],"genre_scores_gemma":[0.7279792,0.002959828,0.1786872,0.001309768,0.0002078928,0.0007656251,0.0008600535,0.0003945779,0.08683587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138554,"threshold_uncertainty_score":0.03808838,"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."}}