{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001175643,0.0002763153,0.000268291,0.00001441454,0.00004171229,0.00001463168,0.0003852833,0.0002617479,0.04403855],"category_scores_gemma":[0.00007752828,0.0002145112,0.0001158508,0.00009777948,0.000125358,0.00004921271,0.0001359726,0.0002916217,0.00001419285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893821,"about_ca_system_score_gemma":0.00003453218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003714099,"about_ca_topic_score_gemma":0.00005713793,"domain_scores_codex":[0.9984519,0.000007703742,0.0002264266,0.0003716466,0.0006282769,0.0003139974],"domain_scores_gemma":[0.9992653,0.00002813017,0.00005763057,0.0004669693,0.00001095563,0.0001710125],"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":[0.00001924359,0.00005843957,0.000002259814,0.00004727309,0.00001562234,0.00002199378,0.000002318501,0.0000272587,0.005532118,1.734503e-7,0.9924045,0.001868856],"study_design_scores_gemma":[0.0002977865,0.00002011775,0.000005448276,0.0000832627,0.00003164452,0.000009865505,0.000001530462,0.000006316443,0.005948148,0.00003612216,0.9932535,0.0003062411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004680741,0.000089558,0.000171128,0.0001777231,0.0001558001,0.00006591845,0.9984185,0.00004988745,0.0004034895],"genre_scores_gemma":[0.0001322595,0.0002316127,0.00003878734,0.00009750335,0.0003568113,0.000006657684,0.9984801,0.00002074053,0.0006354583],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04402435,"threshold_uncertainty_score":0.9568353,"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."}}