{"id":"W4384924021","doi":"10.1111/ejh.14056","title":"How can artificial intelligence help rehabilitation programs for people with hemophilia in the coming decades?","year":2023,"lang":"en","type":"letter","venue":"European Journal Of Haematology","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"","keywords":"Coming out; Rehabilitation; Medicine; Pediatrics; Gerontology; Physical therapy; Sociology; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036655,0.0004013967,0.0009170364,0.0006358827,0.003209632,0.003504091,0.001170293,0.03388325,0.01434848],"category_scores_gemma":[0.03621685,0.0002908974,0.0009029064,0.000554718,0.001965356,0.005316001,0.001626218,0.02319172,0.01052521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572919,"about_ca_system_score_gemma":0.005095347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006119297,"about_ca_topic_score_gemma":0.01141021,"domain_scores_codex":[0.9976709,0.001073127,0.0003105621,0.0001481094,0.0004981889,0.0002990472],"domain_scores_gemma":[0.9850525,0.009076736,0.0006519998,0.0003228046,0.002520427,0.002375503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000458638,0.00006246661,0.0009096491,0.00008005297,0.00001436188,0.00120708,0.0002240085,0.00005103275,0.00007175355,0.003183093,0.9670851,0.02706564],"study_design_scores_gemma":[0.0001350893,0.00009412686,0.001239505,0.001061161,0.00003161448,0.002931154,0.001421004,0.0003244481,0.000113817,0.02429135,0.9683087,0.0000480106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001525085,0.001004054,0.00004258099,0.9941241,0.002991225,0.000003813029,0.00002025928,0.000007179199,0.001654153],"genre_scores_gemma":[0.005174856,0.005105237,0.0004137509,0.9658796,0.01501881,0.0000463438,0.00005422186,0.0000183214,0.008288934],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03388325,"threshold_uncertainty_score":0.04800045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06936221222919448,"score_gpt":0.3225731496766002,"score_spread":0.2532109374474057,"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."}}