{"id":"W4252751578","doi":"10.1126/science.316.5821.29c","title":"MONEY MATTERS","year":2007,"lang":"en","type":"article","venue":"Science","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000316314,0.00002278324,0.00003382625,0.0000891131,0.00007009357,0.000002798671,0.00007575321,0.0002886891,0.0000473316],"category_scores_gemma":[0.00002824947,0.00001614235,0.00001006685,0.0003741665,0.0005011521,0.000032211,0.00002027954,0.0004281969,0.0001461438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001547765,"about_ca_system_score_gemma":0.00003276535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003636655,"about_ca_topic_score_gemma":0.000001086366,"domain_scores_codex":[0.9996138,7.361835e-7,0.0000444281,0.00009414415,0.00009906723,0.0001478655],"domain_scores_gemma":[0.9997973,0.000006111431,0.000008899444,0.0001173165,0.00001750293,0.00005291005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004829664,0.00006871829,0.0159216,0.0000123407,0.000009291362,0.0001881324,0.0003604868,0.00000112088,0.9224836,0.0126816,0.005326744,0.04289804],"study_design_scores_gemma":[0.0004146674,0.0001362989,0.3140135,0.00004114183,0.0000146061,0.0003400345,0.0002192015,0.00008721001,0.6007528,0.0005672218,0.08331589,0.00009734436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815663,0.0001833726,0.002537459,0.0893996,0.0004125923,0.00007071849,1.22036e-7,0.000115797,0.02571397],"genre_scores_gemma":[0.9913489,0.00001703647,0.001236536,0.006254256,0.0000151436,1.962295e-7,1.02511e-7,0.000001283281,0.001126592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3217308,"threshold_uncertainty_score":0.2226635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006962867977482076,"score_gpt":0.2753866915818446,"score_spread":0.2684238236043626,"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."}}