{"id":"W4238871958","doi":"10.1515/iupac.78.0357","title":"HPTLC","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Computer science; Chemical nomenclature; Relation (database); Data science; Management science; Environmental chemistry; Chemistry; Engineering; Data mining; Linguistics","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":[0.000154963,0.0005748093,0.0006927384,0.00008013894,0.000113583,0.0000601338,0.0007294646,0.0008250383,0.07485543],"category_scores_gemma":[0.0003051658,0.0004362757,0.0004606423,0.0001621867,0.0002958791,0.00005703235,0.0002000457,0.0007240699,0.000009685462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224945,"about_ca_system_score_gemma":0.0004172394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147252,"about_ca_topic_score_gemma":0.00003843348,"domain_scores_codex":[0.9971582,0.00001354978,0.0005210316,0.0006585016,0.001087038,0.0005617033],"domain_scores_gemma":[0.9978176,0.0001081578,0.0002485653,0.001220425,0.000272551,0.0003326395],"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":[0.00006407429,0.0002033896,0.00001341932,0.0006682539,0.0002249641,0.0001310391,0.000001498679,1.068068e-7,0.0003511455,0.000008403198,0.9977026,0.0006310897],"study_design_scores_gemma":[0.0006455172,0.00002317347,0.000001130535,0.0005895043,0.0002310033,0.00002635573,0.00001670133,0.000001594333,0.002286492,0.0002887893,0.9952972,0.0005925553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001240196,0.0005099491,0.00003344477,0.0002414141,0.0001392773,0.0000367318,0.995849,0.000140648,0.002925484],"genre_scores_gemma":[0.00007410738,0.0006870634,0.00001444059,0.0001582591,0.001663438,0.00001025874,0.9946206,0.00004735132,0.002724475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07484575,"threshold_uncertainty_score":0.9998089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009668173750086757,"score_gpt":0.3657987946835715,"score_spread":0.3561306209334847,"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."}}