{"id":"W2327203542","doi":"10.1038/nmeth.2700","title":"Reply to: \"Against storytelling of scientific results\"","year":2013,"lang":"en","type":"letter","venue":"Nature Methods","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Storytelling; Computational biology; Computer science; Biology; Philosophy; Narrative; Linguistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01618012,0.001365945,0.002734066,0.001515762,0.01177507,0.009218402,0.005317055,0.1676409,0.008513154],"category_scores_gemma":[0.1025202,0.002482931,0.003019887,0.001516484,0.01089336,0.007953755,0.00613847,0.1295254,0.01045574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01323371,"about_ca_system_score_gemma":0.01719744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860973,"about_ca_topic_score_gemma":0.02588422,"domain_scores_codex":[0.9837387,0.004533849,0.00212749,0.002139084,0.004656523,0.002804413],"domain_scores_gemma":[0.9545344,0.02770938,0.003466556,0.001206736,0.007311373,0.005771527],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000588094,0.0000211557,0.000302746,0.00004766556,0.0000259947,0.000498458,0.0002800208,0.00003736054,0.0001057877,0.002389914,0.9936139,0.002618169],"study_design_scores_gemma":[0.0002154019,0.00008130977,0.001494978,0.0006399026,0.000110892,0.0008837627,0.001214011,0.0005548185,0.0004246054,0.01523326,0.9789535,0.0001936146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00009184857,0.0004048103,0.00006050428,0.989335,0.009368987,0.000009402045,0.00003000757,0.00001788856,0.0006814822],"genre_scores_gemma":[0.0005367932,0.0001005003,0.00007306301,0.991861,0.006091197,0.00002312008,0.000007325973,0.00001090622,0.001296091],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9838199,"threshold_uncertainty_score":0.09601778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06124009251032476,"score_gpt":0.442425981712122,"score_spread":0.3811858892017972,"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."}}