{"id":"W4243376290","doi":"10.1515/iupac.78.0309","title":"Freundlich Isotherm","year":2016,"lang":"de","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Field (mathematics); Computer science; Environmental chemistry; Management science; Chemistry; Ecology; Engineering; Biology; Mathematics; 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":[0.001123391,0.0008768204,0.001405596,0.00008233851,0.0005415064,0.0002431909,0.001321315,0.0008610839,0.08764978],"category_scores_gemma":[0.0007180266,0.0003087694,0.0007633649,0.0006718914,0.000383293,0.0001292135,0.000401435,0.0006433618,0.000251353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003671788,"about_ca_system_score_gemma":0.0002970555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008157893,"about_ca_topic_score_gemma":0.008133344,"domain_scores_codex":[0.9944479,0.000363159,0.001071072,0.001220289,0.001804593,0.001092967],"domain_scores_gemma":[0.997019,0.0005185119,0.0006385377,0.0005642754,0.0007314614,0.0005281953],"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":[0.0001589978,0.0004484238,0.0003409157,0.00004425113,0.0003787854,0.00009768235,0.000008440695,0.000002268788,0.0005865284,0.00005195329,0.9697399,0.02814192],"study_design_scores_gemma":[0.0004569937,0.0006362374,0.002661844,0.0004673689,0.0004884701,0.00001135918,0.00005912289,0.00001810179,0.0000222328,0.0005259786,0.9937895,0.0008628099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00403834,0.005535596,0.0000387551,0.00659425,0.0008357851,0.0002989522,0.9824188,0.00007100184,0.0001685161],"genre_scores_gemma":[0.001306663,0.01424523,0.00001746817,0.001051222,0.007525173,0.000012631,0.9732825,0.000009557451,0.002549593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08739842,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630623713692644,"score_gpt":0.3621048066123967,"score_spread":0.3457985694754703,"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."}}