{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009646783,0.0003911716,0.001095362,0.001475207,0.0001647887,0.00006803095,0.0007690348,0.00174301,0.0001648993],"category_scores_gemma":[0.01165772,0.0002776174,0.0002937045,0.00192367,0.0007126415,0.00008082738,0.0001689384,0.007438192,0.00009122768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002046656,"about_ca_system_score_gemma":0.0008798605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007640791,"about_ca_topic_score_gemma":0.000001742716,"domain_scores_codex":[0.9941565,0.0006443108,0.0007894743,0.001272619,0.002272158,0.0008649207],"domain_scores_gemma":[0.9944586,0.001365363,0.0003375797,0.002018169,0.001378375,0.000441881],"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":[0.0000713085,0.0000280592,0.00002172887,0.0004230331,0.00005056793,0.0001516482,0.0004596285,0.000001303854,0.0174376,0.000009539607,0.9128872,0.06845839],"study_design_scores_gemma":[0.0007719151,0.0002807264,0.0002946596,0.0008876575,0.0001050295,0.00003678256,0.00008578555,0.00008676103,0.0188686,0.00007334509,0.9782694,0.0002393622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002982522,0.007277026,0.004445703,0.9218048,0.01162791,0.002262334,0.00009831497,0.0001633322,0.049338],"genre_scores_gemma":[0.0002084456,0.0001175272,0.2628337,0.6509501,0.005888491,0.00003514923,0.0002952209,0.00006797032,0.0796035],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2708548,"threshold_uncertainty_score":0.9999676,"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."}}