{"id":"W4238452087","doi":"10.1515/iupac.78.0534","title":"Reproducibility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Data science; Environmental chemistry; Chemistry; Engineering; Ecology; Biology; Data mining","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":[0.006065117,0.002408324,0.002366253,0.009181761,0.002033118,0.006146105,0.004860839,0.0030022,0.1422708],"category_scores_gemma":[0.04791059,0.0009037498,0.003604706,0.0124957,0.001053994,0.00491258,0.003731979,0.003221042,0.1352603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002883216,"about_ca_system_score_gemma":0.00650276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873557,"about_ca_topic_score_gemma":0.03260944,"domain_scores_codex":[0.9889818,0.001720381,0.002606165,0.003880208,0.002102036,0.0007093278],"domain_scores_gemma":[0.9786002,0.007188723,0.001885475,0.005872242,0.005876146,0.0005772312],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000131136,0.00002892345,0.001956837,0.002210295,0.0001033063,0.00004355826,0.00007554115,0.000275715,0.0001431691,0.001575391,0.9845278,0.008928397],"study_design_scores_gemma":[0.0001997658,0.00001863835,0.003575778,0.001283567,0.00008259655,0.0001031505,0.0001077263,0.0003020568,0.000300458,0.003109805,0.9908574,0.00005902257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001909909,0.00024851,0.0003348225,0.0002024559,0.00009128918,0.00008688283,0.996285,0.0005047262,0.002055347],"genre_scores_gemma":[0.0006808154,0.0001541018,0.001003276,0.0001773889,0.00002644792,0.000575172,0.9957631,0.0002108545,0.001408854],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9939349,"threshold_uncertainty_score":0.4759433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548326402485601,"score_gpt":0.3650671414743024,"score_spread":0.3495838774494464,"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."}}