{"id":"W1983640710","doi":"10.1038/nbt0306-309","title":"Off the beaten path","year":2006,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Path (computing); Biology; Computational biology; Computer science; Computer network","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":[0.008143925,0.000980237,0.001170334,0.001287944,0.007147748,0.01185019,0.001294143,0.0113077,0.05832075],"category_scores_gemma":[0.02229269,0.000465006,0.0006575434,0.0006369274,0.01783026,0.01502873,0.0081168,0.02598344,0.022609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004169411,"about_ca_system_score_gemma":0.006284599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0044103,"about_ca_topic_score_gemma":0.005904547,"domain_scores_codex":[0.9944776,0.001716096,0.0001555449,0.0009099033,0.001863171,0.0008777116],"domain_scores_gemma":[0.9914244,0.002323469,0.0002336793,0.0009796276,0.002121904,0.00291682],"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":[0.00007110618,0.00003598136,0.0002142751,0.0000559782,0.00001452394,0.00009698248,0.0008191928,0.0000758993,0.0002942669,0.3054307,0.6610354,0.03185571],"study_design_scores_gemma":[0.00001416633,0.00002224375,0.0001727632,0.0001203329,0.000003303981,0.00007057752,0.0007262024,0.00005585522,0.00007210433,0.07877139,0.9199561,0.00001493852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002139703,0.01776324,0.00364414,0.7421192,0.04840498,0.00002757245,0.0001478272,0.0002151277,0.1855382],"genre_scores_gemma":[0.0734027,0.01072008,0.002939748,0.550428,0.01791482,0.00008732866,0.0001736029,0.0005692779,0.3437644],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05832075,"threshold_uncertainty_score":0.1951023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002230641219812171,"score_gpt":0.2149164232032946,"score_spread":0.2126857819834825,"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."}}