{"id":"W4388320467","doi":"10.1093/oso/9780198534938.002.0002","title":"Preface","year":2002,"lang":"en","type":"other","venue":"","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Subject (documents); Scholarship; Computer science; Library science; Statistics; Mathematics education; Mathematics; Data science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000005582148,0.00008971679,0.00007036016,0.00007774667,0.000002079528,0.00000586944,0.00005521495,0.0001081896,0.0632501],"category_scores_gemma":[0.000001374941,0.00008775248,0.00001693929,0.00003331505,0.000003097662,0.000005021282,0.000002763588,0.00007110366,0.003147196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009955206,"about_ca_system_score_gemma":0.00000200795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087608,"about_ca_topic_score_gemma":0.00001119739,"domain_scores_codex":[0.9997937,0.000001201226,0.0000392147,0.00005335731,0.00003444845,0.00007804919],"domain_scores_gemma":[0.9998204,0.000003352292,0.000004096265,0.0001391008,0.000001648424,0.0000314424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[9.663525e-9,0.000001819885,0.000001060184,0.00004990326,0.000009105128,2.396391e-7,0.00001375573,0.0007519121,0.000003295444,0.0001493169,0.9979388,0.001080805],"study_design_scores_gemma":[0.00002118273,9.973905e-7,0.000004716569,0.00001652622,0.000002483711,9.689944e-7,0.000001916549,0.001724105,0.00001621818,0.000001555961,0.9981023,0.0001070107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[5.80561e-7,0.001427792,0.002689728,0.00001530987,0.0009638215,0.00003998393,0.000004460996,0.002172268,0.992686],"genre_scores_gemma":[0.00009734471,0.0004335527,0.001320015,0.00001872222,0.0002702958,0.000006648982,0.000007605781,0.0004062445,0.9974396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06010291,"threshold_uncertainty_score":0.997629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321506491724857,"score_gpt":0.2227403221159902,"score_spread":0.2095252571987416,"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."}}