{"id":"W4403046456","doi":"10.2196/58423","title":"A Pathological Diagnosis Method for Fever of Unknown Origin Based on Multipath Hierarchical Classification: Model Design and Validation","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Path (computing); Artificial intelligence; Pathological; Computer science; Data mining; Medicine; Pathology; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002224545,0.0009709331,0.0009276355,0.00126135,0.0006353008,0.000734429,0.001398448,0.001052368,0.001052108],"category_scores_gemma":[0.003918031,0.0003493084,0.001464501,0.0006169357,0.000447231,0.000732775,0.00102968,0.00130107,0.00029463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506111,"about_ca_system_score_gemma":0.002003212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289563,"about_ca_topic_score_gemma":0.01096565,"domain_scores_codex":[0.9993951,0.0001517277,0.00004720249,0.0001880143,0.0001149712,0.0001029576],"domain_scores_gemma":[0.9980405,0.0009303669,0.0001688349,0.0001092098,0.0006744611,0.000076647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004914271,0.0002075403,0.02425772,0.00009714315,0.0001508344,0.000153352,0.0001413356,0.8176391,0.003685813,0.001470513,0.001248881,0.1504565],"study_design_scores_gemma":[0.000005047084,0.00003377848,0.000630405,0.000003324974,0.00001165939,0.00001301208,0.000008369497,0.9986289,0.0003113106,0.0002884493,0.0000622029,0.000003621686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2931886,0.0007961467,0.7017342,0.0006907493,0.0001333238,0.000394685,0.0004288935,0.001261096,0.001372353],"genre_scores_gemma":[0.9001419,0.0002355688,0.0977271,0.0001215351,0.00004543158,0.0002869185,0.0005142643,0.00002562799,0.0009015894],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02289563,"threshold_uncertainty_score":0.04552472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2630958561505613,"score_gpt":0.5008822428248921,"score_spread":0.2377863866743308,"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."}}