{"id":"W2023492721","doi":"10.1126/science.318.5850.565c","title":"Borrowing from Biology","year":2007,"lang":"en","type":"letter","venue":"Science","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Computational 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":[0.005033111,0.001240638,0.0009313036,0.0006493525,0.002839052,0.00627362,0.001978432,0.01878585,0.01222295],"category_scores_gemma":[0.01878814,0.0004191272,0.0009726356,0.0005493787,0.01538608,0.01079056,0.005532407,0.04499635,0.02056373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003160698,"about_ca_system_score_gemma":0.002107014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329506,"about_ca_topic_score_gemma":0.001958665,"domain_scores_codex":[0.9947563,0.001714418,0.0003305038,0.001069891,0.001811321,0.0003175288],"domain_scores_gemma":[0.989615,0.005878665,0.0007419652,0.001392782,0.001247638,0.001123981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004964781,0.00003149757,0.0003261364,0.0002267771,0.00003011464,0.0006067323,0.0004588048,0.0001285412,0.0004705438,0.138693,0.8149012,0.04407699],"study_design_scores_gemma":[0.00002794649,0.00002635183,0.0001963134,0.0001788561,0.000007042911,0.0006791244,0.0002579566,0.0001488882,0.0001837262,0.1604441,0.8378246,0.00002494525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003400649,0.01148013,0.004039251,0.9269469,0.02967864,0.00001492019,0.00005415698,0.0001338439,0.0273121],"genre_scores_gemma":[0.007631319,0.005507991,0.001554721,0.9461839,0.02104646,0.00005147923,0.00003819101,0.00006745967,0.01791846],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01878585,"threshold_uncertainty_score":0.0408898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351756944058017,"score_gpt":0.3179313225603142,"score_spread":0.2944137531197341,"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."}}