{"id":"W4253511136","doi":"10.1515/iupac.78.0458","title":"Pathogen","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Management science; Computer science; Data science; Ecology; Biology; Engineering; 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":[0.001363209,0.001657364,0.00122928,0.005027992,0.0008925093,0.002843735,0.002566661,0.002060679,0.1239831],"category_scores_gemma":[0.01022624,0.0005748319,0.001345083,0.007370831,0.000442455,0.002393552,0.002174556,0.001865363,0.136069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882821,"about_ca_system_score_gemma":0.003378849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0172904,"about_ca_topic_score_gemma":0.03531442,"domain_scores_codex":[0.9980239,0.0003585649,0.000394002,0.0006324612,0.0003986031,0.0001925764],"domain_scores_gemma":[0.9967093,0.001081912,0.0004636562,0.0006421937,0.0008507709,0.0002522354],"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":[0.00005696201,0.0000160677,0.001039924,0.001125061,0.00002630782,0.00003098589,0.00003636762,0.0001808882,0.0001087216,0.001036584,0.9922356,0.004106506],"study_design_scores_gemma":[0.00007241351,0.000009611477,0.001737849,0.0004928297,0.0000189937,0.00007295277,0.00006344452,0.0001421437,0.0001200813,0.001113895,0.996139,0.00001681077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007137891,0.0001193297,0.00008344682,0.00009731195,0.00002343754,0.00001641737,0.9985127,0.0001627587,0.0009132664],"genre_scores_gemma":[0.0002458202,0.0001085396,0.0002800742,0.0001234195,0.000007269734,0.00009344628,0.9983936,0.00004619825,0.0007016273],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239831,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847639495068703,"score_gpt":0.4376983953280389,"score_spread":0.4192220003773519,"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."}}