{"id":"W2611518059","doi":"10.1038/545030a","title":"One submission to all journals","year":2017,"lang":"en","type":"letter","venue":"Nature","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Data science; Library science; Computer science","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.006575376,0.0003311821,0.0007471635,0.0007466156,0.0004193844,0.008005344,0.01327288,0.01559893,0.001826343],"category_scores_gemma":[0.03148551,0.0002260433,0.0002728418,0.0004586505,0.00005218092,0.001680004,0.001107059,0.04112899,0.001950981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000976453,"about_ca_system_score_gemma":0.0002440359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000309451,"about_ca_topic_score_gemma":0.000005856909,"domain_scores_codex":[0.9913735,0.0003069658,0.0007409134,0.001070353,0.005887207,0.0006211082],"domain_scores_gemma":[0.9945883,0.001053156,0.001041121,0.002089123,0.0008910651,0.0003372887],"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":[0.000009097951,0.000005595306,0.0001806963,0.000004803983,0.00002154824,0.0001686566,0.00007498161,0.00000100174,0.00002682745,0.00001003373,0.9684324,0.0310643],"study_design_scores_gemma":[0.0001153627,0.00001406233,0.001688785,0.0002325671,0.0000208573,0.0000308124,0.000009806712,0.00000428297,0.00007546204,0.01296315,0.9845238,0.0003210849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003176982,0.00252491,0.00008315317,0.9457076,0.004377164,0.0002195015,0.0001007074,0.00004641189,0.04662285],"genre_scores_gemma":[0.002184448,0.00005156845,0.0004140662,0.8391865,0.01458402,0.000006503325,0.0000552313,0.00003710216,0.1434806],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1065211,"threshold_uncertainty_score":0.9990861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570317048062981,"score_gpt":0.4730398692519319,"score_spread":0.3160081644456338,"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."}}