{"id":"W4236409816","doi":"10.1515/iupac.79.2167","title":"Transgene","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Biology; Philosophy; 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":[0.00151416,0.001750954,0.001364912,0.003406688,0.0009817573,0.003282673,0.002745253,0.001819862,0.170974],"category_scores_gemma":[0.01260937,0.0005601918,0.001800713,0.005455625,0.0003498841,0.002336927,0.001983625,0.00174081,0.216003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599593,"about_ca_system_score_gemma":0.00305344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715639,"about_ca_topic_score_gemma":0.03267949,"domain_scores_codex":[0.9977156,0.0003833605,0.0003517331,0.0008387832,0.0004599915,0.000250567],"domain_scores_gemma":[0.9955177,0.001121442,0.0004142767,0.001203774,0.001435692,0.0003071092],"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":[0.0001213742,0.0000213408,0.001466168,0.0007745316,0.00004219978,0.00001915328,0.00001937403,0.000170624,0.00008032702,0.0006429233,0.9899079,0.006734191],"study_design_scores_gemma":[0.0001736629,0.00002047158,0.003245494,0.0004736341,0.00004123452,0.00006667941,0.00007188453,0.0002429863,0.0001999462,0.001570909,0.9938693,0.00002383628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001171423,0.00009663818,0.000104711,0.00008948189,0.00003779075,0.00002294161,0.9977033,0.0002924617,0.001535652],"genre_scores_gemma":[0.0003359096,0.00007837182,0.0003164049,0.0001324244,0.00001109764,0.0001017247,0.9976712,0.00006939777,0.001283538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.170974,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006176444901191814,"score_gpt":0.3239470126170859,"score_spread":0.3177705677158941,"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."}}