{"id":"W2407308712","doi":"10.15200/winn.146368.81155","title":"Mistaking the symptom for the disease: preprints in biomedical science","year":2016,"lang":"en","type":"dataset","venue":"The Winnower","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Sociology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.09612831,0.001013046,0.001495813,0.006799548,0.01008146,0.04011285,0.002171448,0.01529657,0.02876514],"category_scores_gemma":[0.3826879,0.001382475,0.001695152,0.00707101,0.0253703,0.03268287,0.01769402,0.01935221,0.02651549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008108686,"about_ca_system_score_gemma":0.01189876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209044,"about_ca_topic_score_gemma":0.002906753,"domain_scores_codex":[0.8886818,0.05322875,0.01024956,0.005987982,0.03912087,0.002730937],"domain_scores_gemma":[0.6191379,0.2483833,0.04053961,0.0334912,0.04078205,0.01766585],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001912824,0.00003805192,0.003845166,0.001500051,0.0001214657,0.001168518,0.01838876,0.00009435562,0.001020274,0.1019925,0.7832718,0.08836778],"study_design_scores_gemma":[0.00003507489,0.00004723044,0.001398635,0.001582547,0.00003421589,0.001304407,0.004890389,0.00012849,0.0004515692,0.04917994,0.9408578,0.00008974884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.004192517,0.04147051,0.0112471,0.8201712,0.08266913,0.00005679295,0.0009027799,0.002777906,0.0365121],"genre_scores_gemma":[0.1304434,0.04686171,0.02069227,0.5966834,0.1324828,0.0001696324,0.001534294,0.009761489,0.06137095],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9598871,"threshold_uncertainty_score":0.5083812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09468351920245706,"score_gpt":0.4419835668831074,"score_spread":0.3473000476806503,"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."}}