{"id":"W2954181036","doi":"10.14418/wes01.1.1570","title":"Liquid Capital: Comparing the Industrial Organization of the Blood and Sperm Donation Markets","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sperm; Sperm donation; Capital (architecture); Business; Blood donor; Andrology; Medicine; Immunology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003649354,0.0001727943,0.0001916941,0.0001456727,0.0002284082,0.0002734889,0.0002722199,0.0001971439,0.0009024781],"category_scores_gemma":[0.0002775097,0.0001034818,0.0000519969,0.0005395976,0.00002985013,0.0007358386,0.00006787643,0.0002807604,0.00003329196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006717791,"about_ca_system_score_gemma":0.00004978438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005238579,"about_ca_topic_score_gemma":0.0007427852,"domain_scores_codex":[0.9989406,0.00002857683,0.0003288192,0.0002145804,0.0003865224,0.0001008449],"domain_scores_gemma":[0.9987041,0.0001039881,0.0005867845,0.0002123925,0.0003874463,0.000005280754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001092609,0.001106631,0.478834,0.002489617,0.001215414,0.000003211718,0.003875253,0.0001195801,0.01053784,0.47909,0.009104339,0.01253146],"study_design_scores_gemma":[0.008014123,0.00005295448,0.886788,0.0008342156,0.003975364,0.00001011364,0.01422162,0.001714769,0.01421801,0.0008843864,0.06793062,0.001355889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445042,0.00006147129,0.000006576304,0.00120627,0.001447204,0.0005272737,0.000002118545,0.00004019191,0.05220467],"genre_scores_gemma":[0.9945771,0.00005943038,0.000006935951,0.0004024227,0.0003006731,0.000005660119,0.0003362986,0.00003108978,0.004280454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4782056,"threshold_uncertainty_score":0.9881502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810199500198639,"score_gpt":0.2205672990365742,"score_spread":0.2024653040345878,"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."}}