{"id":"W4386659573","doi":"10.1126/article.62511","title":"Visualizing Science at University of Toronto","year":2021,"lang":"en","type":"dataset","venue":"AAAS Articles DO Group","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; Data science; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003702209,0.0001338002,0.0001744969,0.00003143502,0.0001579278,0.00003820832,0.0005716495,0.0001898835,0.0003788623],"category_scores_gemma":[0.0002069157,0.0001313158,0.00009177119,0.0001067251,0.0007371812,0.000007786111,0.001157861,0.00008245206,0.00004745833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008621276,"about_ca_system_score_gemma":0.0002047739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00087539,"about_ca_topic_score_gemma":0.002654711,"domain_scores_codex":[0.9985794,0.00004165278,0.0002046346,0.0003256951,0.0004937229,0.00035488],"domain_scores_gemma":[0.9989384,0.0000164784,0.0001059651,0.0005543754,0.0001741246,0.0002106282],"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":[0.00004076855,0.0001129493,0.0000642244,0.0001251259,0.00003679371,0.00001029678,0.00006003896,6.145837e-7,0.1994174,0.000009551346,0.796901,0.003221273],"study_design_scores_gemma":[0.0002681996,0.0002815753,0.0003333165,0.00004097398,0.00002493045,0.000006506154,0.0004954703,0.00003556008,0.05157589,0.000008969722,0.9467579,0.0001706962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.225955,0.004814364,0.0002039737,0.0001038332,0.0004948268,0.000332571,0.7672678,0.00001293479,0.0008146706],"genre_scores_gemma":[0.1397345,0.01280248,0.001364937,0.0002477971,0.0003363764,0.000002040194,0.8448603,0.00002245555,0.0006291913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1498569,"threshold_uncertainty_score":0.5354903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585772939273251,"score_gpt":0.2844146540423462,"score_spread":0.2685569246496137,"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."}}