{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003613919,0.0002200656,0.0004184597,0.0004353833,0.0009711685,0.0008151893,0.0003277158,0.0005984996,0.007748143],"category_scores_gemma":[0.002861428,0.00005468838,0.0004116018,0.0005577567,0.0001543304,0.0007314267,0.001088839,0.001118661,0.001094997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006536044,"about_ca_system_score_gemma":0.0009762453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001509502,"about_ca_topic_score_gemma":0.003049132,"domain_scores_codex":[0.9997293,0.00007042994,0.00003088563,0.00002659645,0.00004961191,0.00009313435],"domain_scores_gemma":[0.9990054,0.0000632006,0.0001869321,0.000009800429,0.00008427716,0.0006504139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001085213,0.00123038,0.5231636,0.00101312,0.0001840921,0.002882295,0.0009066901,0.0004880777,0.00041125,0.002469527,0.1258926,0.3402732],"study_design_scores_gemma":[0.0006540191,0.003251873,0.8402227,0.006076414,0.0005749235,0.01191802,0.004655402,0.001354727,0.0003838546,0.01228981,0.1184935,0.0001246602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7459776,0.09860338,0.002088085,0.07362617,0.00214119,0.0004637155,0.005448437,0.0002845437,0.07136686],"genre_scores_gemma":[0.9466456,0.03112974,0.002142661,0.009692899,0.00218055,0.0004028024,0.004014566,0.00005255416,0.00373853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007748143,"threshold_uncertainty_score":0.02592015,"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."}}