{"id":"W2847863984","doi":"10.1093/biosci/biy074","title":"Variable Bibliographic Database Access Could Limit Reproducibility","year":2018,"lang":"en","type":"article","venue":"BioScience","topic":"Research Data Management Practices","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"U.S. Department of Agriculture; National Institutes of Health; National Science Foundation","keywords":"Reproducibility; Limit (mathematics); Database; Computer science; Variable (mathematics); Information retrieval; Statistics; Mathematics","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":["scholarly_communication","open_science"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.009033119,0.0001453007,0.0001255854,0.001440071,0.0005103291,0.006490037,0.01052599,0.0000384869,0.00007684022],"category_scores_gemma":[0.004898177,0.0001234635,0.0000333955,0.01754972,0.00073722,0.06761254,0.006194954,0.0001845409,0.0001681954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002794942,"about_ca_system_score_gemma":0.0002116844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004968976,"about_ca_topic_score_gemma":0.00004728411,"domain_scores_codex":[0.9952837,0.0002065673,0.0002630494,0.00252514,0.001081488,0.0006400949],"domain_scores_gemma":[0.9913914,0.0002274108,0.0001604381,0.007664994,0.0003252279,0.0002305866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004218799,0.0007700247,0.04201082,0.0001248548,0.00003296677,0.00006232239,0.0001222085,0.000009191506,0.06076328,0.7948186,0.08950571,0.01173779],"study_design_scores_gemma":[0.0004944138,0.0005927403,0.1380241,0.00008344341,0.00001862514,0.00002797949,0.00003464877,0.03395696,0.04406701,0.01217934,0.769641,0.0008797622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01640769,0.0001260831,0.9502007,0.006395568,0.001293292,0.000518064,0.00003446431,0.0004056342,0.02461847],"genre_scores_gemma":[0.7665123,0.0009555731,0.2270601,0.002919241,0.0003710199,0.00005728384,0.0000136428,0.0000145808,0.002096257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7826393,"threshold_uncertainty_score":0.9948275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2112934131775749,"score_gpt":0.4202307788844886,"score_spread":0.2089373657069137,"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."}}