{"id":"W2046520751","doi":"10.1080/0966369x.2013.795727","title":"Clinical labor: tissue donors and research subjects in the global bioeconomy","year":2013,"lang":"en","type":"article","venue":"Gender Place & Culture","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001425778,0.0000874528,0.0001569464,0.00003298531,0.00009017486,0.00005550101,0.0001066142,0.0004099411,0.0001425359],"category_scores_gemma":[0.0001135168,0.00004601153,0.00002977777,0.000314939,0.0005537363,0.00006100195,0.00005370677,0.0007495954,0.0001090253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004480444,"about_ca_system_score_gemma":0.0001255287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002802311,"about_ca_topic_score_gemma":0.0002312081,"domain_scores_codex":[0.9987026,0.0002505081,0.0002139721,0.0002532314,0.0003285189,0.0002511133],"domain_scores_gemma":[0.9993609,0.0001105339,0.00002955778,0.0002070183,0.0001359104,0.0001560971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002189571,0.0006572819,0.39592,0.0004165475,0.0001496132,0.0001117474,0.0219145,0.000003655652,0.001030568,0.03625383,0.4475524,0.09577081],"study_design_scores_gemma":[0.001305764,0.0002238074,0.6068165,0.00004155233,0.00001810543,0.0000752078,0.005381372,0.0001261348,0.00003747382,0.009727982,0.3761432,0.0001028062],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009942,0.002395506,0.00002834458,0.08197656,0.0002153141,0.0008565608,0.00001082938,0.0000256524,0.01349702],"genre_scores_gemma":[0.9934441,0.0007118624,0.0004796352,0.003382857,0.0005168218,0.0000263628,0.00003263304,0.000005985922,0.001399719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2108965,"threshold_uncertainty_score":0.3256661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09168989993442948,"score_gpt":0.4337864393916046,"score_spread":0.3420965394571751,"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."}}