{"id":"W4238549310","doi":"10.1515/iupac.79.1934","title":"Reproducibility","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.008229436,0.002881523,0.002809179,0.006143222,0.001861423,0.007112187,0.005684742,0.002718303,0.1645936],"category_scores_gemma":[0.05570396,0.0009640161,0.004750184,0.008757131,0.0009940715,0.004728735,0.003793185,0.002977987,0.1879083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002160047,"about_ca_system_score_gemma":0.00600493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181516,"about_ca_topic_score_gemma":0.02149122,"domain_scores_codex":[0.9882357,0.002096524,0.002360297,0.004766956,0.0018578,0.0006827932],"domain_scores_gemma":[0.975826,0.007998098,0.001534935,0.007836925,0.0061951,0.0006089456],"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":[0.0002496913,0.00003853527,0.002167166,0.002195782,0.0001971933,0.00004132387,0.00007812116,0.000461851,0.0001383065,0.00171361,0.974799,0.01791959],"study_design_scores_gemma":[0.0003512144,0.00003531973,0.003193411,0.0009754387,0.0001629771,0.00009823133,0.0001088758,0.0006122612,0.0003812922,0.005488685,0.9885262,0.00006601861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003282738,0.0003259979,0.001081813,0.000299832,0.0002581432,0.0002064639,0.9917291,0.001960135,0.003810184],"genre_scores_gemma":[0.001118007,0.0001810679,0.002548111,0.0002981399,0.00006447634,0.0009364292,0.9914252,0.0005748454,0.002853713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1645936,"threshold_uncertainty_score":0.5506204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940406204084545,"score_gpt":0.390200516338173,"score_spread":0.3707964542973275,"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."}}