{"id":"W4394166015","doi":"10.6084/m9.figshare.15015753","title":"Equine-TB-MELE-28","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":"Genetics; Biology; Virology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043983,0.002783424,0.001462432,0.002689245,0.0005828888,0.001603464,0.002240846,0.003603673,0.06937999],"category_scores_gemma":[0.006263366,0.0006774137,0.001917292,0.003392604,0.000508094,0.0009274423,0.001180755,0.001478607,0.06474054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402219,"about_ca_system_score_gemma":0.001767156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03041162,"about_ca_topic_score_gemma":0.04710772,"domain_scores_codex":[0.9992378,0.0001825015,0.00007276746,0.000242372,0.0001514726,0.0001130922],"domain_scores_gemma":[0.9980445,0.0008731316,0.0001991116,0.0003381664,0.0003423368,0.0002027061],"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":[0.00024031,0.0000504153,0.001471372,0.001540388,0.0001065315,0.00003527166,0.0000229968,0.001438088,0.0001663179,0.0003696706,0.9910597,0.003498853],"study_design_scores_gemma":[0.00178693,0.0001200678,0.01059774,0.0009855973,0.0002086942,0.0001909827,0.0001044909,0.003756527,0.0007477945,0.00261613,0.9787916,0.00009342169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002345721,0.0001339734,0.000073043,0.00009314284,0.00002576053,0.00001353713,0.998652,0.0003003492,0.0004736382],"genre_scores_gemma":[0.0007002754,0.00009623385,0.0003636893,0.0001004408,0.000009022724,0.00006310743,0.997992,0.00006502808,0.0006101661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06937999,"threshold_uncertainty_score":0.2320992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0520580804765619,"score_gpt":0.3147314687142924,"score_spread":0.2626733882377305,"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."}}