{"id":"W7096791732","doi":"","title":"Use of a Clinical Prediction Score in Patients with Suspected Deep Venous Thrombosis: Two Steps Forward, One Step Back?","year":2016,"lang":"en","type":"article","venue":"","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical record; Clinical Practice; Disease; Measure (data warehouse); Electronic health record; Clinical prediction rule; Health records; Medical diagnosis; Outcome (game theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.004063481,0.0007221991,0.001172983,0.001302628,0.0005757089,0.002131242,0.001247512,0.002253273,0.003369729],"category_scores_gemma":[0.02038546,0.0002769014,0.0004886029,0.001043615,0.0006500562,0.003298705,0.0007205877,0.002737635,0.002090578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005053128,"about_ca_system_score_gemma":0.0009140474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002100299,"about_ca_topic_score_gemma":0.003314602,"domain_scores_codex":[0.998183,0.0006764092,0.000307408,0.0001228983,0.000608293,0.0001020476],"domain_scores_gemma":[0.9937376,0.002380275,0.000944675,0.0002896814,0.001864635,0.0007831859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001318861,0.0008090787,0.5072295,0.0004643132,0.0001882577,0.002662394,0.0003244074,0.0007290335,0.0008142013,0.001752264,0.06650345,0.4172043],"study_design_scores_gemma":[0.00164847,0.006574016,0.7743592,0.007039843,0.00129559,0.03141103,0.00530586,0.05232004,0.004929106,0.03254974,0.08174547,0.0008216305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4804012,0.06923198,0.03922363,0.3509198,0.009236161,0.0007086626,0.001608477,0.0012893,0.04738079],"genre_scores_gemma":[0.9178507,0.02169582,0.03629304,0.01319617,0.006498403,0.0002294579,0.001012893,0.0001183168,0.003105204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004063481,"threshold_uncertainty_score":0.02149004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05700111933593389,"score_gpt":0.3040937570804457,"score_spread":0.2470926377445118,"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."}}