{"id":"W4391477679","doi":"10.20944/preprints202402.0027.v1","title":"CRISPR-Cas Associated Cells and Animal Mediated Biomedical Modelling","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amgen (Canada); York University","funders":"","keywords":"CRISPR; Computational biology; Biology; Animal model; Computer science; Genetics; Gene","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":[0.000982211,0.0008151749,0.0008116668,0.001187428,0.0005553195,0.002046821,0.001714477,0.002104535,0.006359212],"category_scores_gemma":[0.001174012,0.0006224387,0.001261996,0.0009416834,0.001604489,0.001193706,0.001438099,0.00264427,0.003103743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039081,"about_ca_system_score_gemma":0.001149238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222784,"about_ca_topic_score_gemma":0.001415315,"domain_scores_codex":[0.9989791,0.0001921601,0.00008704445,0.0002291283,0.0004351131,0.00007744833],"domain_scores_gemma":[0.9995891,0.0001243162,0.00008305808,0.00007638655,0.00007034382,0.00005678066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002533397,0.0001873853,0.001932125,0.002824618,0.0002101025,0.002161167,0.0005395218,0.0621842,0.3921788,0.3652726,0.02891011,0.1433461],"study_design_scores_gemma":[0.00008848235,0.0005362168,0.002038887,0.0005168334,0.000127935,0.004267496,0.000190181,0.05607544,0.1327811,0.07968222,0.7234653,0.0002299742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02224438,0.02180788,0.8710297,0.003620822,0.001539736,0.0006644292,0.003602948,0.004624684,0.07086546],"genre_scores_gemma":[0.3408017,0.04871934,0.523761,0.001762133,0.0004460818,0.002100054,0.007493405,0.0009270158,0.07398922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006359212,"threshold_uncertainty_score":0.02127373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019346237447112,"score_gpt":0.3375086740545153,"score_spread":0.2873152116800442,"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."}}