{"id":"W1764810396","doi":"","title":"Research guides: BME1450: Bioengineering Science: Find articles","year":2012,"lang":"en","type":"libguides","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Data science; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004603651,0.00231051,0.002429645,0.05163498,0.003194596,0.008750606,0.002127025,0.002573711,0.465103],"category_scores_gemma":[0.05029033,0.001502706,0.001121158,0.05532377,0.001148128,0.00500558,0.003571486,0.001477349,0.2847525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006037112,"about_ca_system_score_gemma":0.02891158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06578541,"about_ca_topic_score_gemma":0.2324854,"domain_scores_codex":[0.9951053,0.0005941695,0.0009649678,0.0004850877,0.00234608,0.0005044384],"domain_scores_gemma":[0.9360951,0.01531502,0.005297806,0.001749118,0.02958061,0.01196239],"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":[0.00005122442,0.0000171982,0.0002878683,0.002969379,0.00001004142,0.00003109506,0.0001533725,0.00002410531,0.0001831664,0.0003758593,0.9588639,0.03703289],"study_design_scores_gemma":[0.00006468378,0.00003249941,0.00472825,0.003173424,0.00004681374,0.000107766,0.000346811,0.00006668026,0.0004441329,0.0006674652,0.9902903,0.00003111834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002463733,0.01833549,0.002359284,0.01964627,0.001895801,0.003254115,0.6556005,0.009600936,0.2868438],"genre_scores_gemma":[0.009785005,0.03944063,0.02084847,0.004869712,0.002629866,0.003177659,0.3565737,0.008465471,0.5542095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.465103,"threshold_uncertainty_score":0.7629657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331019776644993,"score_gpt":0.3272120223476805,"score_spread":0.2639018245812306,"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."}}