{"id":"W4230790331","doi":"10.1515/iupac.79.2029","title":"Sorption","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrostatics and Colloid Interactions","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":[0.0001139407,0.0003134872,0.0003369075,0.0001015293,0.0001154608,0.00007735606,0.0002984022,0.0003158547,0.03164295],"category_scores_gemma":[0.0002255678,0.0002523957,0.0001717697,0.00008464091,0.00005525515,0.00007305786,0.00007686823,0.0005198572,0.000008972859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731301,"about_ca_system_score_gemma":0.0005440553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007803438,"about_ca_topic_score_gemma":0.0006188767,"domain_scores_codex":[0.9982702,0.0000140163,0.0003626602,0.0003620193,0.0006441855,0.0003469552],"domain_scores_gemma":[0.9985442,0.00007819021,0.0002410579,0.0006571133,0.0003666797,0.0001127401],"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":[0.0000690782,0.0001570816,0.000001301196,0.0001119236,0.00009577623,0.00001684194,0.000003287395,2.883471e-7,0.002042263,0.00001729286,0.9952511,0.002233796],"study_design_scores_gemma":[0.0004439356,0.00006124534,6.560072e-7,0.0003254524,0.00009504318,0.00001862645,0.00001358964,0.000006600745,0.001269806,0.0003133526,0.9971352,0.0003164479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001650379,0.0002285663,0.00008627978,0.0004128753,0.0004000691,0.0000536641,0.9979193,0.00007049576,0.0006637534],"genre_scores_gemma":[0.00003555799,0.001104987,0.00001551289,0.0001443111,0.001105121,0.00002373432,0.9913461,0.00003727572,0.006187454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03163398,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960454516661386,"score_gpt":0.3888019180902705,"score_spread":0.3791973729236567,"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."}}