{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986565,0.0002578855,0.0008585087,0.0005097465,0.00009847779,0.00009090833,0.0003949615,0.0001634054,0.000007238484],"category_scores_gemma":[0.0008586166,0.0001410395,0.0002350174,0.0004522194,0.0002667143,0.00005525711,0.00003906077,0.001739179,0.00001872513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008778147,"about_ca_system_score_gemma":0.0002157009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005921174,"about_ca_topic_score_gemma":0.00010247,"domain_scores_codex":[0.9970004,0.001008276,0.0006869788,0.0002785686,0.0005375056,0.0004883037],"domain_scores_gemma":[0.9974716,0.001321498,0.0004531667,0.0003156835,0.0003596322,0.00007838751],"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":[0.003057908,0.0008823678,0.0170987,0.005103586,0.001007403,0.2049026,0.01804841,0.00002111564,0.0001587419,0.0008916027,0.6343064,0.1145212],"study_design_scores_gemma":[0.008827374,0.05959197,0.01455135,0.01392197,0.002668006,0.1517849,0.03771929,0.0006501282,0.001287884,0.01427717,0.6925118,0.002208167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1151745,0.0001540594,0.000534505,0.8825766,0.0002716245,0.001154411,0.000007376389,0.00001882043,0.0001081356],"genre_scores_gemma":[0.9466885,0.0001128582,0.007109148,0.03912687,0.004787057,0.000100953,0.0002124476,0.0002696309,0.001592547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8434497,"threshold_uncertainty_score":0.7555965,"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."}}