{"id":"W4256003132","doi":"10.1515/iupac.78.0194","title":"Carcinogen","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","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; 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":[0.0008982713,0.001482958,0.00140527,0.004581934,0.0007179566,0.002037531,0.00215498,0.001645646,0.1295504],"category_scores_gemma":[0.007456058,0.0005112158,0.00137081,0.00701944,0.0003284806,0.00157495,0.001676265,0.001528827,0.08856343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697632,"about_ca_system_score_gemma":0.002922273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248439,"about_ca_topic_score_gemma":0.04468087,"domain_scores_codex":[0.9987798,0.0001760939,0.0002411274,0.000401266,0.0002757472,0.0001259215],"domain_scores_gemma":[0.996893,0.001010711,0.0005305615,0.0005578019,0.0008102205,0.0001975763],"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":[0.0001184975,0.00001902061,0.002044794,0.002979351,0.00005940509,0.00005068293,0.00003367021,0.0002392373,0.0001949446,0.001000817,0.9852704,0.007989255],"study_design_scores_gemma":[0.0001026042,0.00001273582,0.004031329,0.0008974154,0.00004818356,0.0001014852,0.00004399141,0.00009841011,0.0001626155,0.0009698319,0.9935143,0.00001715076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007381272,0.0001804925,0.00005408041,0.00005885991,0.00001579975,0.00001200918,0.9985958,0.00006900472,0.0009401998],"genre_scores_gemma":[0.0003662745,0.0002319244,0.000243169,0.000123812,0.00000752907,0.00007021209,0.9979799,0.00003079712,0.0009463878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1295504,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685746557506629,"score_gpt":0.3516917397303626,"score_spread":0.3348342741552963,"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."}}