{"id":"W4400948205","doi":"10.2139/ssrn.4903211","title":"FAST-STEM: Synthetic Biology Toolkit for Next Generation Regenerative Medicine","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University Health Network; University of Toronto","funders":"","keywords":"Regenerative medicine; Synthetic biology; Biology; Stem cell; Stem cell biology; Computational biology; Computer science; Data science; Cell biology","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":[0.001028989,0.001038506,0.0007613334,0.0008061911,0.0004890336,0.001674131,0.001791353,0.001469156,0.05546873],"category_scores_gemma":[0.001777005,0.0007503204,0.0009390178,0.0006168672,0.0003994491,0.001628657,0.001979225,0.001765468,0.02222103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003589612,"about_ca_system_score_gemma":0.0006464731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005530791,"about_ca_topic_score_gemma":0.0007396152,"domain_scores_codex":[0.9995133,0.00007962287,0.00002903276,0.00006097647,0.0002630143,0.00005409295],"domain_scores_gemma":[0.999321,0.0003322392,0.00003027059,0.0001611186,0.00009975897,0.0000557442],"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":[0.000779831,0.0002854378,0.001200016,0.002807268,0.0002565597,0.0006001792,0.0005568198,0.05687099,0.1144798,0.171829,0.3537819,0.296552],"study_design_scores_gemma":[0.0003176508,0.0001284578,0.0006023463,0.0001747077,0.00006370994,0.0005613143,0.00006750161,0.1681114,0.08057995,0.1161004,0.6331818,0.0001108286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00685798,0.001143496,0.7938284,0.0007632137,0.000817006,0.0001596267,0.01593683,0.143034,0.03745956],"genre_scores_gemma":[0.09378028,0.003141141,0.7664446,0.0007178629,0.0003074296,0.000828996,0.04234659,0.04464716,0.047786],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05546873,"threshold_uncertainty_score":0.1855614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929505715908832,"score_gpt":0.2634454570279681,"score_spread":0.2341503998688798,"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."}}