{"id":"W1905488354","doi":"10.1111/hae.12764","title":"<scp>FVIII</scp> inhibitor development according to concentrate: data from the <scp>EUHASS</scp> registry excluding overlap with other studies","year":2015,"lang":"en","type":"letter","venue":"Haemophilia","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biostatistics; Medicine; Library science; Family medicine; Epidemiology; Internal medicine","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":[0.002503674,0.0003393078,0.0009749611,0.0008967138,0.001083662,0.001787234,0.0006065241,0.008696779,0.003379703],"category_scores_gemma":[0.01602221,0.0003191032,0.0007896604,0.001547136,0.0006610889,0.001162305,0.0007849677,0.003501334,0.002433198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167618,"about_ca_system_score_gemma":0.003040353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006645198,"about_ca_topic_score_gemma":0.0166533,"domain_scores_codex":[0.9972278,0.00070967,0.0007731097,0.0002778851,0.0005501621,0.0004613003],"domain_scores_gemma":[0.9907922,0.004212623,0.00182572,0.0003450646,0.00151107,0.001313343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003584422,0.0001015294,0.05368683,0.0001889025,0.00008505438,0.006704026,0.0002469594,0.0001069496,0.0003430196,0.001625385,0.9189227,0.01763026],"study_design_scores_gemma":[0.001063924,0.0003168953,0.1673344,0.002451639,0.0004256264,0.02069672,0.001418425,0.0016388,0.001025886,0.008834236,0.7946826,0.0001107477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02563887,0.002613489,0.0003838238,0.9329243,0.0101755,0.00009360146,0.004397917,0.0000659529,0.02370665],"genre_scores_gemma":[0.1369771,0.003594495,0.001062795,0.7886645,0.04609238,0.0002540409,0.003728166,0.00007665203,0.0195499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008696779,"threshold_uncertainty_score":0.01572722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006701068241705,"score_gpt":0.3679283785329173,"score_spread":0.1672582717087467,"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."}}