{"id":"W2568212439","doi":"10.1016/j.transci.2016.12.027","title":"The WAA registry: Current status","year":2017,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Apheresis Group","funders":"","keywords":"Medicine; Library science; Gynecology; Political science; Geography; Computer science","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":[0.01631499,0.0007415632,0.001708159,0.01265614,0.001337686,0.008654313,0.005108308,0.001639368,0.01802384],"category_scores_gemma":[0.03564725,0.0005953301,0.001185854,0.01906209,0.002007004,0.01131079,0.004557976,0.002041686,0.007874501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001971923,"about_ca_system_score_gemma":0.01399653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007479381,"about_ca_topic_score_gemma":0.006431502,"domain_scores_codex":[0.9919349,0.002145216,0.002679423,0.00127301,0.001432222,0.000535308],"domain_scores_gemma":[0.9476,0.01464758,0.01274754,0.008332448,0.01120826,0.00546425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000846838,0.000400162,0.1181906,0.00478001,0.0003764383,0.0002197402,0.0005128811,0.0007411545,0.0006105816,0.02055215,0.2445604,0.6082091],"study_design_scores_gemma":[0.0001297296,0.000153147,0.04056427,0.003828545,0.0003491683,0.0007728458,0.0007435551,0.001071506,0.0008548066,0.004343207,0.9471053,0.0000839283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1186054,0.3055232,0.05842426,0.09308796,0.01522845,0.002578935,0.224693,0.01947774,0.162381],"genre_scores_gemma":[0.3225863,0.1897213,0.0815081,0.01346604,0.007033446,0.004194707,0.3447417,0.002324966,0.03442347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01802384,"threshold_uncertainty_score":0.08628291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224873578351497,"score_gpt":0.2746818354213666,"score_spread":0.2524330996378516,"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."}}