{"id":"W4237690001","doi":"10.1515/iupac.81.0458","title":"Hybrid","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 Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001078393,0.002090348,0.001244612,0.003522486,0.001281123,0.003676867,0.003336787,0.002236933,0.155876],"category_scores_gemma":[0.007211266,0.0006636825,0.001912818,0.005982548,0.0004421358,0.003406233,0.003444279,0.002142913,0.2460635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746982,"about_ca_system_score_gemma":0.002191884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253146,"about_ca_topic_score_gemma":0.04993109,"domain_scores_codex":[0.9980172,0.000323089,0.0002399156,0.0007018843,0.0004309086,0.0002869596],"domain_scores_gemma":[0.9971516,0.0006185579,0.0002192931,0.0009593998,0.0008164243,0.0002347812],"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":[0.00008341741,0.0000188805,0.001108634,0.0005366732,0.00002652761,0.00002048052,0.00003461791,0.0002310828,0.00009364518,0.001277539,0.9912435,0.005325016],"study_design_scores_gemma":[0.00008416316,0.00001363372,0.002020749,0.0002874006,0.00001621012,0.00006511743,0.0001124502,0.0003565408,0.0002040019,0.002161689,0.9946549,0.00002320935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001721284,0.00009784172,0.0001717634,0.0001255754,0.00004512889,0.00001741575,0.9963211,0.0007078387,0.002341354],"genre_scores_gemma":[0.0003558798,0.00007505216,0.0004317674,0.0001014431,0.00000755817,0.00005434844,0.9975212,0.0001137244,0.00133897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844124,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526444310917378,"score_gpt":0.4087068854432129,"score_spread":0.3934424423340391,"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."}}