{"id":"W4255920718","doi":"10.1515/iupac.88.1428","title":"Transgenic","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":[0.001803857,0.001311106,0.001271674,0.004349624,0.0009117772,0.003383536,0.002343358,0.001802342,0.1580788],"category_scores_gemma":[0.01655912,0.0005915525,0.001762478,0.007069035,0.000438155,0.002739223,0.002508522,0.001799648,0.1734407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616089,"about_ca_system_score_gemma":0.003459489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134599,"about_ca_topic_score_gemma":0.02585598,"domain_scores_codex":[0.9972165,0.000518324,0.0006077866,0.0008689397,0.0005128178,0.0002756051],"domain_scores_gemma":[0.993993,0.001688394,0.0007209365,0.001468597,0.001766855,0.0003622865],"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":[0.0001183888,0.00001671731,0.001552774,0.001759723,0.00004817602,0.00002747698,0.00003851469,0.0001239366,0.0001279876,0.001318661,0.9863524,0.008515178],"study_design_scores_gemma":[0.00009609864,0.00001160845,0.002472125,0.0007996013,0.0000305013,0.00006525792,0.00006604945,0.0001020434,0.0001626738,0.001248009,0.9949261,0.0000200182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001188149,0.0001870838,0.000155391,0.0001508157,0.00006633926,0.00003438482,0.996582,0.0002929215,0.002412381],"genre_scores_gemma":[0.000383886,0.0001823185,0.0004055754,0.0002354296,0.00001797559,0.0001371411,0.9969861,0.00009343094,0.001558161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1580788,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04374285981676207,"score_gpt":0.520749604046805,"score_spread":0.477006744230043,"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."}}