{"id":"W4403765063","doi":"10.24908/pceea.2023.17133","title":"Guide to Backward Laboratory (Re)Design","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833834,0.0001800242,0.000148084,0.000449819,0.00006845687,0.0001554011,0.0002976352,0.0001839598,0.00006875399],"category_scores_gemma":[0.0005292905,0.0001755932,0.00007085053,0.001222423,0.000009834366,0.0002121011,0.00001642739,0.0002701061,0.0001040726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651813,"about_ca_system_score_gemma":0.0006363051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172328,"about_ca_topic_score_gemma":0.0005551784,"domain_scores_codex":[0.9988522,0.000004020736,0.0002888925,0.0001888338,0.0003121373,0.0003539166],"domain_scores_gemma":[0.9991435,0.00005971312,0.00003943278,0.0001112031,0.0002893566,0.0003567368],"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":[6.296897e-7,0.0000154163,0.0003970011,0.000869462,0.00009661361,1.365103e-7,0.0009823783,0.01248001,0.01066268,0.002745744,0.9689001,0.002849795],"study_design_scores_gemma":[0.0000599579,0.00001380935,0.007512765,0.0004652707,0.00004532446,0.000002105673,0.0001331137,0.02675037,0.0084602,0.0001059849,0.956098,0.0003531078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4317319,0.01493894,0.02913577,0.1733252,0.1767088,0.008450848,0.001008729,0.01427943,0.1504204],"genre_scores_gemma":[0.9840868,0.00004909529,0.006978238,0.0004646734,0.000939574,0.0001838657,0.00001314389,0.0001214813,0.00716316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5523549,"threshold_uncertainty_score":0.7160482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004740830166205212,"score_gpt":0.2013818018637889,"score_spread":0.1966409716975837,"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."}}