{"id":"W7028771369","doi":"","title":"Identification of Accipiters in Ontario","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002334582,0.000187972,0.0003920238,0.0008005914,0.0001364867,0.0001052153,0.001499731,0.000120079,0.00007303017],"category_scores_gemma":[0.00002372475,0.0002624419,0.0002472101,0.001263535,0.0003331554,0.002109854,0.0006667257,0.0002439907,0.0000624659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759238,"about_ca_system_score_gemma":0.0003151435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326432,"about_ca_topic_score_gemma":0.0042324,"domain_scores_codex":[0.9984788,0.00003944388,0.0003000178,0.0004597882,0.0004762292,0.000245692],"domain_scores_gemma":[0.9986573,0.00007404898,0.0002915568,0.0006379876,0.0002060014,0.0001330406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005885428,0.0007714205,0.4072523,0.001179633,0.0009836429,0.0006030854,0.3882383,0.003702952,0.001169686,0.1819471,0.003447834,0.01011558],"study_design_scores_gemma":[0.00875535,0.001042587,0.474714,0.002309992,0.0007999995,0.00002665873,0.2265997,0.2344534,0.001864599,0.004859246,0.04111117,0.003463317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940322,0.00003521955,0.2008626,0.0001756338,0.0003847442,0.0001682331,0.0004821274,0.0001238407,0.003735468],"genre_scores_gemma":[0.9974522,0.000007650698,0.0007047877,0.000006697417,0.00001186401,2.383784e-8,0.00009391513,0.000009184178,0.001713688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2307504,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127886200284623,"score_gpt":0.2091469133794463,"score_spread":0.1878680513766001,"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."}}