{"id":"W2582364802","doi":"10.1111/hae.13164","title":"The Haemophilia Joint Visualizer: development of a personalized, interactive, web‐based tool to help improve adherence to prophylaxis","year":2017,"lang":"en","type":"letter","venue":"Haemophilia","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bayer HealthCare","keywords":"Medicine; Haemophilia; Haemophilia A; Web application; Joint (building); World Wide Web; Pediatrics; Computer science","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":[0.002217244,0.001447793,0.0006750193,0.0009472282,0.0002329732,0.001017595,0.001341225,0.00109648,0.01741994],"category_scores_gemma":[0.006173797,0.0003564131,0.0008659113,0.0003301713,0.0002418002,0.001184209,0.001364266,0.0010406,0.004622075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211957,"about_ca_system_score_gemma":0.0007939746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009090031,"about_ca_topic_score_gemma":0.001295096,"domain_scores_codex":[0.998838,0.0004178647,0.00007966338,0.0001350721,0.0004235786,0.0001058369],"domain_scores_gemma":[0.9981178,0.00108066,0.0001348047,0.00008098233,0.0002770802,0.0003087079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.001292909,0.002050606,0.005306171,0.002034466,0.0001173948,0.0008043947,0.001102624,0.0007106488,0.01540953,0.0005924394,0.08153932,0.8890395],"study_design_scores_gemma":[0.004567468,0.01335763,0.1132859,0.004436111,0.001426459,0.01172229,0.001045234,0.03679064,0.05250917,0.003089908,0.7568786,0.0008906458],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.26926,0.01336995,0.4679678,0.009287046,0.002354695,0.02156422,0.01425667,0.1340991,0.06784058],"genre_scores_gemma":[0.1710254,0.005859111,0.756083,0.002912607,0.0005647431,0.01125227,0.007455459,0.002892236,0.04195515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01741994,"threshold_uncertainty_score":0.05827546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06040692905508936,"score_gpt":0.3513708948481056,"score_spread":0.2909639657930163,"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."}}