{"id":"W1721447212","doi":"10.1016/b978-0-12-394292-0.00005-9","title":"osprey","year":2013,"lang":"en","type":"article","venue":"Methods in enzymology on CD-ROM/Methods in enzymology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Software suite; Flexibility (engineering); Source code; In silico; Computer science; Suite; Software; Computational biology; Algorithm; Chemistry; Programming language; Biology; Mathematics; Biochemistry; Gene; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007755731,0.001274551,0.000782662,0.002880007,0.001116407,0.002485398,0.001319181,0.001013926,0.3373166],"category_scores_gemma":[0.001874128,0.0005878777,0.0006788789,0.001472679,0.0004952415,0.002276417,0.002270788,0.001450149,0.3726528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552552,"about_ca_system_score_gemma":0.001064656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809624,"about_ca_topic_score_gemma":0.003861832,"domain_scores_codex":[0.999151,0.00008067006,0.00005060022,0.0002094932,0.0004172897,0.00009097735],"domain_scores_gemma":[0.9989049,0.0001255712,0.00004948107,0.0004556526,0.0003265439,0.0001377521],"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":[0.0001206967,0.00005092082,0.0005468139,0.0002187442,0.00002258415,0.00009839961,0.0001034402,0.0004913435,0.004867628,0.03493267,0.6294622,0.3290845],"study_design_scores_gemma":[0.0000121244,0.00001148605,0.0004145778,0.00003656369,0.00001057214,0.0001601589,0.00002301833,0.0008429213,0.002406741,0.009043162,0.9870242,0.00001443795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003841288,0.001566401,0.1221163,0.001149343,0.001358407,0.0001860626,0.03787598,0.06532101,0.7665852],"genre_scores_gemma":[0.0211102,0.001407866,0.05692305,0.0007920205,0.0004001025,0.0002223331,0.06590775,0.01368421,0.8395524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6626834,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227238367283932,"score_gpt":0.3844588791322627,"score_spread":0.3617350424038694,"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."}}