{"id":"W4247916412","doi":"10.1515/iupac.78.0600","title":"Target, Biological","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; Relation (database); Computer science; Pesticide; Management science; Data science; 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":[0.0009631512,0.001862238,0.00152626,0.00494497,0.00100207,0.003301754,0.002438043,0.001771217,0.1480936],"category_scores_gemma":[0.00937181,0.0005701945,0.001483431,0.00858325,0.0004684812,0.002956241,0.002054556,0.002122316,0.1302401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00201445,"about_ca_system_score_gemma":0.003457842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452095,"about_ca_topic_score_gemma":0.04242434,"domain_scores_codex":[0.998447,0.0001963067,0.0003147389,0.0005335188,0.0003546201,0.0001539338],"domain_scores_gemma":[0.9966158,0.00104514,0.0005624725,0.00071033,0.0008721787,0.0001941585],"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":[0.00008714384,0.00001529472,0.001480992,0.002895827,0.00004365475,0.00003656947,0.00003808921,0.0002085317,0.0002213604,0.001362806,0.9859524,0.007657407],"study_design_scores_gemma":[0.00006007798,0.000009550825,0.002184615,0.0006081098,0.00003352257,0.0000672563,0.00004101963,0.00008424744,0.0001120392,0.001390785,0.9953936,0.00001504744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008211983,0.0003115439,0.0001204412,0.00007599625,0.00003062682,0.00001504018,0.9973814,0.0001383394,0.001844484],"genre_scores_gemma":[0.0004541358,0.0003406684,0.0004450323,0.0001872133,0.00001127083,0.00008724463,0.9970106,0.00007220601,0.001391675],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1480936,"threshold_uncertainty_score":0.4954224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691554938430287,"score_gpt":0.3538460694222972,"score_spread":0.3369305200379943,"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."}}