{"id":"W2164216649","doi":"10.1111/j.1365-2516.2007.01552.x","title":"Optimizing outcomes for patients with severe haemophilia A","year":2007,"lang":"en","type":"article","venue":"Haemophilia","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Haemophilia; MEDLINE; Haemophilia A; Pediatrics; Intensive care medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004100013,0.0003526853,0.0005767838,0.0002792913,0.0002439947,0.00003522292,0.000163569,0.0001856254,0.0001600387],"category_scores_gemma":[0.0001907414,0.0002313475,0.0002321083,0.0003425355,0.0001459025,0.000149652,0.00006430511,0.0002511476,0.0001025159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869601,"about_ca_system_score_gemma":0.0001325548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001526838,"about_ca_topic_score_gemma":0.00002105973,"domain_scores_codex":[0.9975046,0.00001877599,0.0003880348,0.0005272531,0.0006884258,0.0008729443],"domain_scores_gemma":[0.9982488,0.0002676804,0.00008970886,0.0005499165,0.0004027692,0.0004411436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002641665,0.001227732,0.9687779,0.000271046,0.0004530966,0.000249638,0.0004890748,0.000008814284,0.0001970788,0.0003681224,0.002978478,0.02233739],"study_design_scores_gemma":[0.01960325,0.00310151,0.9559416,0.000311559,0.0003952458,0.00009754939,0.0002254791,0.0001403798,0.002337889,0.0005744227,0.01654873,0.0007224093],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98636,0.0001146305,0.0007339395,0.002259265,0.0002326802,0.002466372,0.00005189129,0.0001856018,0.007595582],"genre_scores_gemma":[0.9741833,0.00001427132,0.01628963,0.000524291,0.0002276433,0.00007624882,0.0002070725,0.00008646585,0.008391076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02161498,"threshold_uncertainty_score":0.9434078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712948148593253,"score_gpt":0.3104657407905742,"score_spread":0.2833362593046416,"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."}}