{"id":"W789996379","doi":"10.1016/j.transci.2015.06.001","title":"Whole blood and apheresis donors in Quebec, Canada: Demographic differences and motivations to donate","year":2015,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Apheresis; Donation; Blood donor; Demographics; Medicine; Context (archaeology); Family medicine; Demography; Internal medicine; Platelet; Immunology; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005923305,0.000144484,0.0001676713,0.0006301434,0.002284911,0.001066992,0.0004144654,0.0002795948,0.003119383],"category_scores_gemma":[0.00136203,0.0001240344,0.0001743276,0.00148114,0.0006910902,0.0003970486,0.0005278494,0.000496575,0.000265178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01322168,"about_ca_system_score_gemma":0.01330763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747888,"about_ca_topic_score_gemma":0.9897827,"domain_scores_codex":[0.9995253,0.00007079817,0.0000223845,0.00004948131,0.000138726,0.0001933534],"domain_scores_gemma":[0.9982154,0.0001901813,0.0004004908,0.00002567494,0.0004802554,0.0006878777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005803665,0.00007110576,0.9818447,0.00002727446,0.00001411771,0.0001548874,0.0067566,0.00005132195,0.000299012,0.0002483388,0.001267493,0.009207085],"study_design_scores_gemma":[0.000004182707,0.00004236112,0.9826459,0.00003594195,0.000005992668,0.00008340822,0.01458435,0.0001764153,0.0000637992,0.00002756811,0.002318941,0.00001114188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978037,0.0002231135,0.00004683297,0.0003121931,0.00000587037,0.00001540614,0.0002910146,0.000001624417,0.001300255],"genre_scores_gemma":[0.9976525,0.0002539713,0.00007197369,0.0001583286,0.000003450884,0.000009087084,0.0002076432,0.00000125175,0.001641852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02521116,"threshold_uncertainty_score":0.09593046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037985084394762,"score_gpt":0.2198263299415096,"score_spread":0.199446479097562,"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."}}