{"id":"W6960538403","doi":"10.1371/journal.pdig.0000354.g004","title":"Model Performance.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Predictive modelling; Body mass index; Diabetes mellitus; Dimension (graph theory); Big data; Medical record","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003054914,0.001941431,0.001160862,0.001619495,0.0007008918,0.003584127,0.002398057,0.002270054,0.07335135],"category_scores_gemma":[0.01172806,0.0004818414,0.001825337,0.001413705,0.0004463237,0.003043264,0.00181396,0.002127029,0.05116673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318748,"about_ca_system_score_gemma":0.002128155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009760592,"about_ca_topic_score_gemma":0.007297798,"domain_scores_codex":[0.9980578,0.0004683594,0.0001422685,0.000615983,0.0005271199,0.0001884989],"domain_scores_gemma":[0.996807,0.001178294,0.0001546162,0.0008119171,0.0009253207,0.0001229109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005197523,0.0003269547,0.008306528,0.0008450528,0.0003669699,0.0002792408,0.0001525553,0.2191671,0.002881385,0.02133673,0.2714457,0.474372],"study_design_scores_gemma":[0.00007548511,0.0001649356,0.002285793,0.0002072627,0.00009311527,0.0002112571,0.0001542436,0.864834,0.00372376,0.03039384,0.09778628,0.00007015376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04588373,0.00746584,0.590135,0.009986606,0.005599943,0.0013255,0.04941028,0.05090188,0.2392911],"genre_scores_gemma":[0.4973191,0.00466126,0.2510857,0.003927398,0.001554915,0.001710341,0.09442552,0.007577015,0.1377388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9266486,"threshold_uncertainty_score":0.2453847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07056216998538013,"score_gpt":0.2320877640521125,"score_spread":0.1615255940667323,"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."}}