{"id":"W6939869914","doi":"10.6084/m9.figshare.28737129","title":"Additional file 3 of An analysis of the value-added of antibiogram subgroup stratification","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Antibiogram; Statistical analysis; Stratification (seeds); Mean difference; Linear discriminant analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003238862,0.001265142,0.001396658,0.001972728,0.0008006025,0.002151967,0.00182213,0.001006691,0.8167221],"category_scores_gemma":[0.06160795,0.0005930411,0.001832968,0.003241246,0.0003329453,0.001623797,0.001315583,0.001286964,0.1232392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116432,"about_ca_system_score_gemma":0.001853124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01228346,"about_ca_topic_score_gemma":0.01698167,"domain_scores_codex":[0.9984261,0.0005215188,0.0001608579,0.0003821812,0.0002985315,0.0002108682],"domain_scores_gemma":[0.9297171,0.06256994,0.001751198,0.002259406,0.002962191,0.0007401418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001256496,0.0001710304,0.01233109,0.002803925,0.0002984164,0.00007793415,0.0001488694,0.001124749,0.0001320631,0.0008322336,0.9672295,0.01359379],"study_design_scores_gemma":[0.007694774,0.0009693313,0.1435875,0.005552048,0.001478507,0.0007671147,0.001574059,0.01086642,0.001770769,0.02307344,0.8022855,0.0003805307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008616453,0.00002592892,0.0008867209,0.0001210123,0.00004679868,0.00009337933,0.9961171,0.0007417533,0.001105752],"genre_scores_gemma":[0.04889151,0.0001800068,0.01561036,0.001151962,0.0002318855,0.004556353,0.8978142,0.006918338,0.02464554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8167221,"threshold_uncertainty_score":0.2614237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414359908611537,"score_gpt":0.2233557897285846,"score_spread":0.2092121906424692,"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."}}