{"id":"W4255120895","doi":"10.1515/iupac.78.0595","title":"Synergist","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Relation (database); Chemical nomenclature; Computer science; Management science; Environmental chemistry; Chemistry; Engineering; Ecology; 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":[0.0009443262,0.001891884,0.001336092,0.005108991,0.001141952,0.003251686,0.002576036,0.001834516,0.1694889],"category_scores_gemma":[0.007313564,0.0006402663,0.001599796,0.008306716,0.000352466,0.002664044,0.002523955,0.001889997,0.1533625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174744,"about_ca_system_score_gemma":0.003516845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148945,"about_ca_topic_score_gemma":0.05141341,"domain_scores_codex":[0.9986223,0.0002222947,0.0002085277,0.0004290478,0.0003408917,0.0001768354],"domain_scores_gemma":[0.9971259,0.0009373644,0.0003852029,0.0006398213,0.0006770936,0.0002345429],"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":[0.00006735432,0.0000134105,0.0008111194,0.001181843,0.00003016673,0.00002035986,0.00002587026,0.0001846407,0.0000930617,0.001229474,0.9920625,0.004280077],"study_design_scores_gemma":[0.00007559996,0.000009792851,0.001652597,0.0004513932,0.00002316966,0.00003777467,0.0000491311,0.0001312685,0.0001138906,0.001253538,0.9961855,0.00001625789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007441251,0.0001194915,0.00006319478,0.00008470561,0.00001863118,0.00001010068,0.9978097,0.0001973326,0.001622449],"genre_scores_gemma":[0.000348838,0.0001743656,0.0003103639,0.000109608,0.000008710116,0.00007480854,0.997544,0.00008700781,0.001342215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1694889,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494352007784219,"score_gpt":0.4190700004866156,"score_spread":0.4041264804087734,"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."}}