{"id":"W4394435058","doi":"10.6084/m9.figshare.15015756","title":"Equine-TB-MELE-29","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Diagnosis and treatment of tuberculosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Computational biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002896927,0.000360165,0.0005492006,0.0001727964,0.0001078366,0.00005128533,0.0002912397,0.0002311007,0.9886724],"category_scores_gemma":[0.0005805048,0.0003141134,0.0003427455,0.000194999,0.000004661925,0.00005252113,0.0003877916,0.0005256388,0.01415098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835905,"about_ca_system_score_gemma":0.0001594622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000659751,"about_ca_topic_score_gemma":0.0000254775,"domain_scores_codex":[0.9983302,0.0000294432,0.0002501333,0.0004847193,0.0005720847,0.0003334478],"domain_scores_gemma":[0.9985924,0.0001390973,0.0001493647,0.0008570772,0.00006487846,0.0001971739],"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":[0.00001765106,0.0005096678,0.00001158141,0.0008105062,0.0002775858,0.0008800324,0.000003189506,4.944134e-7,2.886288e-7,3.163129e-7,0.9967827,0.0007060281],"study_design_scores_gemma":[0.0006991926,0.0005842135,0.0002562068,0.001866794,0.0003978685,0.00006290897,0.000006266916,8.093177e-7,0.00001611494,0.000001896307,0.9958352,0.000272457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003362269,0.001604089,7.559686e-10,0.0005951216,0.0001858708,0.0005292264,0.9943883,0.0000775762,0.00261647],"genre_scores_gemma":[0.000006972837,0.0001532163,0.00000638059,0.00210362,0.0004294982,0.001522766,0.9941491,0.00004672618,0.001581644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9745214,"threshold_uncertainty_score":0.9999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521623978099121,"score_gpt":0.315097415151854,"score_spread":0.2629350173419419,"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."}}