{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005390719,0.0001811212,0.0001990881,0.0004478338,0.000441175,0.0005408813,0.0002035521,0.00004960271,0.00007919027],"category_scores_gemma":[0.0001408184,0.0001508875,0.00001738119,0.001646621,0.0002973361,0.001549144,0.00008628881,0.0001263792,0.000003642582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366086,"about_ca_system_score_gemma":0.0001731619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6901112,"about_ca_topic_score_gemma":0.9711502,"domain_scores_codex":[0.9984408,0.0000232331,0.0002514973,0.0005055786,0.0004849336,0.0002939463],"domain_scores_gemma":[0.999429,0.00009671015,0.00006701854,0.0001310892,0.0001440295,0.000132082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023788,0.0002262536,0.9455513,0.0001197594,0.0000200228,0.00001980752,0.001059085,0.00002832993,0.008292568,0.0137261,0.0008887993,0.02996557],"study_design_scores_gemma":[0.001301544,0.00001710223,0.9841775,0.00007418087,0.00005374556,0.000003512973,0.003018933,0.0005053662,0.0001660606,0.001135521,0.009238019,0.0003085536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858278,0.0003184481,0.00006748208,0.01009266,0.0001151191,0.0002553453,0.000004282309,0.00003991967,0.003278955],"genre_scores_gemma":[0.9973934,0.0003342447,0.0001996394,0.001691194,0.00003758301,0.00001621686,0.000001391079,0.000009046576,0.0003173027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.281039,"threshold_uncertainty_score":0.6153014,"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."}}