{"id":"W4255145387","doi":"10.1515/iupac.78.0485","title":"pKa","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Pesticide; Management science; Data science; Chemistry; Ecology; Engineering; Biology; Data mining","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":[0.001113627,0.00186713,0.001250839,0.004744168,0.0009560926,0.00306036,0.002588501,0.001943362,0.1773997],"category_scores_gemma":[0.009145968,0.0005736847,0.001319203,0.00778831,0.0003967571,0.002915323,0.002166496,0.001730637,0.2135353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043334,"about_ca_system_score_gemma":0.00320098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032179,"about_ca_topic_score_gemma":0.03869555,"domain_scores_codex":[0.9981751,0.0002876917,0.0003088508,0.0006450448,0.0003875682,0.000195617],"domain_scores_gemma":[0.9968617,0.0008463821,0.000407488,0.0006579864,0.0009908297,0.0002356006],"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":[0.0000557914,0.00001240989,0.0007386223,0.0009763418,0.00001947594,0.000019132,0.00002515768,0.0001331593,0.00008917294,0.0008656866,0.9931316,0.003933545],"study_design_scores_gemma":[0.00007581238,0.00000865114,0.001518037,0.0004302443,0.00001507165,0.00004267901,0.00005533101,0.0001223079,0.0001195087,0.001101833,0.9964952,0.00001533249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005054289,0.00008782279,0.00005869724,0.0000698214,0.00001792931,0.00001344682,0.9984453,0.0001741465,0.001082239],"genre_scores_gemma":[0.0001964416,0.00009501832,0.000238547,0.00009396086,0.000006253113,0.00008347024,0.9984376,0.00005257764,0.0007961789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1773997,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151769809227846,"score_gpt":0.3511571586591913,"score_spread":0.3396394605669129,"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."}}