{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008764534,0.0007553842,0.0009848928,0.00003529179,0.0002003714,0.00006012202,0.0008231114,0.0007257978,0.02273289],"category_scores_gemma":[0.004450704,0.0005958807,0.0003805587,0.0001108896,0.0003633496,0.00006225852,0.0005649519,0.0008364746,0.000003853015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006299422,"about_ca_system_score_gemma":0.0005638239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004722327,"about_ca_topic_score_gemma":0.0000755832,"domain_scores_codex":[0.994929,0.00002316166,0.0007782736,0.002551779,0.001092514,0.0006252709],"domain_scores_gemma":[0.9926987,0.0001683665,0.0004182073,0.005931047,0.0005592024,0.00022445],"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":[0.0001987846,0.0002895014,0.00004182758,0.001636278,0.0002529017,0.00009653898,0.000009194631,9.134446e-8,0.003123782,3.877349e-7,0.9923446,0.002006126],"study_design_scores_gemma":[0.000696046,0.00001883355,0.000004086338,0.0006322882,0.0001622025,0.00003888246,0.00003860696,2.490034e-7,0.02566982,0.0001376421,0.9718975,0.0007038855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001082832,0.001329528,0.000002987402,0.000600077,0.000323053,0.00007478712,0.9936318,0.0001733021,0.002781675],"genre_scores_gemma":[0.0001386739,0.0008514029,0.00001157982,0.00008001692,0.002885597,0.00002736962,0.9859601,0.00004273319,0.01000251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02272904,"threshold_uncertainty_score":0.9996493,"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."}}