{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116125,0.002309398,0.002729874,0.008188103,0.00110087,0.003820859,0.004370027,0.002424294,0.1039232],"category_scores_gemma":[0.01205031,0.0008885881,0.002260594,0.01373208,0.0004468017,0.003558753,0.001647925,0.002614088,0.1269184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002661458,"about_ca_system_score_gemma":0.003443879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051561,"about_ca_topic_score_gemma":0.03146897,"domain_scores_codex":[0.9968992,0.0005157229,0.0004986493,0.0007453652,0.001110342,0.0002306979],"domain_scores_gemma":[0.9947789,0.002310904,0.0005764868,0.0009236502,0.001262284,0.0001479129],"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":[0.0001141759,0.00004542114,0.001830226,0.005090244,0.0001182295,0.00003845373,0.00004123331,0.003821808,0.0003974114,0.003670847,0.9634585,0.02137338],"study_design_scores_gemma":[0.0001297836,0.00002006403,0.002274376,0.0006341759,0.00003980027,0.00006087366,0.00004181456,0.002319392,0.0006390505,0.006489934,0.9873001,0.00005062892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002037291,0.0007783139,0.0007668343,0.00009119301,0.00003207495,0.00004103184,0.9944175,0.0008375839,0.002831681],"genre_scores_gemma":[0.001781558,0.001197231,0.002746938,0.0001337093,0.00002090839,0.0002842771,0.9914886,0.0003613425,0.001985417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1039232,"threshold_uncertainty_score":0.3476577,"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."}}