{"id":"W4254720686","doi":"10.1515/iupac.73.0058","title":"Argentation Chromatography","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":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Chemistry; Food science; Organic chemistry; Biochemistry; Polymer science; Computer science; Mathematics; Political science; Database; Law","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":[0.002713789,0.003035232,0.002775921,0.006592648,0.001586704,0.005399871,0.003903757,0.002120568,0.115847],"category_scores_gemma":[0.01094574,0.0007983305,0.002718608,0.01201378,0.0007177175,0.002979609,0.002596503,0.003128228,0.1802721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862951,"about_ca_system_score_gemma":0.005313307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155461,"about_ca_topic_score_gemma":0.02010675,"domain_scores_codex":[0.9963976,0.0005507194,0.0005791785,0.001324541,0.0007712022,0.0003768614],"domain_scores_gemma":[0.9955981,0.001212259,0.000429087,0.001060731,0.001501364,0.0001984626],"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":[0.0003977771,0.00007442891,0.002064757,0.003540502,0.0001782957,0.00008812198,0.00006310871,0.0005790397,0.0009910358,0.001928791,0.9649048,0.02518936],"study_design_scores_gemma":[0.0002022166,0.0000233724,0.003418393,0.0004371532,0.00007009538,0.00007883916,0.0000552879,0.0003555581,0.001129214,0.00284134,0.9913546,0.00003391382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003310514,0.00042876,0.0007594845,0.0001192317,0.00005204548,0.00006141703,0.9943448,0.001464747,0.00243852],"genre_scores_gemma":[0.0007410052,0.000454858,0.002145918,0.00009844541,0.00002057175,0.0002459475,0.9943436,0.0003065546,0.001642966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115847,"threshold_uncertainty_score":0.387547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023896755355961,"score_gpt":0.3617026336894916,"score_spread":0.351463666135932,"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."}}