{"id":"W3034803488","doi":"10.20429/amtp.2013.06","title":"A Comparison of Potential Student Blood Donors to Actual Donors","year":2013,"lang":"en","type":"article","venue":"","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Blood donor; Medicine; Computer science; Immunology","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":[0.002423445,0.0001944761,0.0001857245,0.001229632,0.0007255773,0.000959218,0.0003683882,0.0004257411,0.006909846],"category_scores_gemma":[0.01420648,0.0001347309,0.0002195193,0.0005460237,0.0005865294,0.000819483,0.001249183,0.0003858465,0.001115936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003617204,"about_ca_system_score_gemma":0.0003694142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055244,"about_ca_topic_score_gemma":0.00156639,"domain_scores_codex":[0.9979989,0.001011096,0.0001642482,0.0001563382,0.0004001207,0.0002692357],"domain_scores_gemma":[0.991758,0.00335608,0.001343154,0.0003957769,0.001528355,0.001618614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007496057,0.001014658,0.9721712,0.00006987657,0.00003966987,0.000194602,0.0049372,0.00008803907,0.0004384851,0.0007266293,0.0005755121,0.01899449],"study_design_scores_gemma":[0.0000890326,0.003812505,0.9537361,0.00008646562,0.00004607016,0.00196059,0.03124514,0.001008331,0.001127778,0.0009616842,0.00589307,0.00003321174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985855,0.00009498155,0.00009969191,0.00005068795,0.000008874036,0.00001361991,0.00004581323,0.000001526246,0.001099369],"genre_scores_gemma":[0.9990981,0.0001004208,0.00007167151,0.00003835048,0.000005874555,0.00001217874,0.00007673642,0.000001063509,0.000595721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006909846,"threshold_uncertainty_score":0.02311575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111070713592121,"score_gpt":0.2900205141327796,"score_spread":0.2689098069968584,"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."}}