{"id":"W4401979537","doi":"10.1007/978-981-97-1777-4_20","title":"Trends Innovations Challenges in Employing Interdisciplinary Approaches to Biomedical Sciences","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Engineering ethics; Management science; Data science; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002046552,0.0002525524,0.0002327416,0.001757522,0.00003442511,0.00004028832,0.0002203901,0.0002905461,0.0002617711],"category_scores_gemma":[0.000005615142,0.0002149503,0.00005621792,0.0004290056,0.0001101279,0.00006227799,0.0001814582,0.0004235742,0.0002268613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284968,"about_ca_system_score_gemma":0.00002776398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002171106,"about_ca_topic_score_gemma":0.00002998436,"domain_scores_codex":[0.9988405,0.000001811335,0.0003261859,0.0003486171,0.0002394375,0.0002434836],"domain_scores_gemma":[0.9996681,0.00003634422,0.00001154238,0.0001593486,0.000007952175,0.0001166942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001481203,0.00003361282,0.000001555096,0.001146644,0.00007739229,0.0000153291,0.001868272,0.0009410349,0.00003940982,0.623484,0.01776017,0.3546311],"study_design_scores_gemma":[0.0001787071,0.0002621447,0.0004129161,0.003479265,0.00005569758,0.0000480359,0.0007534762,0.03411531,0.00003414953,0.09837116,0.8607143,0.001574889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001576639,0.003820669,0.001022981,0.01083508,0.001739194,0.00009093403,0.000016355,0.0006642654,0.9816529],"genre_scores_gemma":[0.2609338,0.001750815,0.009118927,0.0001441233,0.002834156,0.0002980799,0.0003572883,0.0004037657,0.724159],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8429541,"threshold_uncertainty_score":0.8765419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2065450434702116,"score_gpt":0.2934113696220155,"score_spread":0.0868663261518039,"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."}}