{"id":"W4413140217","doi":"10.1126/science.aeb3933","title":"Beyond lab animals","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer science; Business; Computational biology; Pharmacology; 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":[0.01130312,0.001307509,0.001215262,0.001144647,0.0008320236,0.003430456,0.002077157,0.00309891,0.02871032],"category_scores_gemma":[0.009157903,0.0005471329,0.0008729975,0.0005132826,0.004123943,0.004421175,0.002814285,0.007161954,0.01379042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828785,"about_ca_system_score_gemma":0.002312602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000759109,"about_ca_topic_score_gemma":0.001275909,"domain_scores_codex":[0.9949989,0.002255686,0.0002380463,0.000639354,0.0015664,0.000301549],"domain_scores_gemma":[0.990795,0.00270506,0.0006446238,0.002716324,0.001494412,0.00164456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002495754,0.001347325,0.002753519,0.00406457,0.0002818621,0.0005435516,0.0007533948,0.0008611433,0.1295858,0.176295,0.2884932,0.3925249],"study_design_scores_gemma":[0.000166975,0.001802449,0.001385268,0.0009620656,0.00008420603,0.0009661274,0.000219176,0.0002915993,0.01430772,0.03368331,0.9460861,0.00004495316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02841136,0.1017151,0.4098578,0.1562992,0.02726111,0.003338578,0.006964164,0.01095993,0.2551928],"genre_scores_gemma":[0.1423251,0.1431851,0.3375276,0.1478891,0.01066763,0.00772684,0.0110016,0.003347871,0.1963291],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02871032,"threshold_uncertainty_score":0.09604561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370050362525249,"score_gpt":0.3988049891190557,"score_spread":0.3751044854938032,"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."}}