{"id":"W4396618993","doi":"10.1016/b978-0-443-13829-4.00001-5","title":"Case studies in computational biomedical research","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004550336,0.0008115237,0.0006631432,0.002732209,0.001504138,0.005008658,0.001933586,0.002548564,0.02320535],"category_scores_gemma":[0.01643269,0.0005837949,0.0007543877,0.005235726,0.003123763,0.004979968,0.002668833,0.002312168,0.001881732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705918,"about_ca_system_score_gemma":0.000966038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003030954,"about_ca_topic_score_gemma":0.004694244,"domain_scores_codex":[0.9958194,0.003129479,0.0002063108,0.0002192313,0.0005162575,0.0001091825],"domain_scores_gemma":[0.9779915,0.02034694,0.00026099,0.0007992922,0.000359377,0.0002418078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007222718,0.0001542454,0.002530116,0.0007834204,0.00006381654,0.003637612,0.002018471,0.01180564,0.0003872716,0.756102,0.05664154,0.1658037],"study_design_scores_gemma":[0.00002822082,0.00003424964,0.0009662978,0.0007429456,0.00003552227,0.002266463,0.001992552,0.02491071,0.0005910083,0.817411,0.1509938,0.00002725791],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0354845,0.06439896,0.4035873,0.0295464,0.001121273,0.0004301373,0.001621359,0.0009444489,0.4628657],"genre_scores_gemma":[0.4540967,0.03118912,0.4345095,0.002076047,0.000748919,0.0007944692,0.003104013,0.0005385138,0.0729427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02320535,"threshold_uncertainty_score":0.07762957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0838139539655506,"score_gpt":0.387399112565683,"score_spread":0.3035851586001324,"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."}}