{"id":"W3135385195","doi":"10.1080/15265161.2021.1895364","title":"Plumbing the Depths of Ethical Payment for Research Participation","year":2021,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute for Health and Care Research","keywords":"Transparency (behavior); Payment; Incentive; Compensation (psychology); Context (archaeology); Reimbursement; Business; Public relations; Nothing; Human services; Psychology; Political science; Economics; Social psychology; Law; Health care; Finance","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.08105569,0.0008504283,0.002242561,0.0007717354,0.01574084,0.01294357,0.003901588,0.1138696,0.007555103],"category_scores_gemma":[0.2166187,0.001813979,0.001949291,0.0008476413,0.0259431,0.0159162,0.01185403,0.1398021,0.003452664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01079297,"about_ca_system_score_gemma":0.03722658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006731334,"about_ca_topic_score_gemma":0.009910881,"domain_scores_codex":[0.8900855,0.06311587,0.01101048,0.008114806,0.01812285,0.009550492],"domain_scores_gemma":[0.8159475,0.140655,0.01004937,0.005230598,0.01409866,0.01401883],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001380039,0.0001708062,0.002166671,0.0003123621,0.00007188666,0.003902876,0.01151714,0.0002593334,0.001222954,0.1449227,0.8045937,0.0307216],"study_design_scores_gemma":[0.0001891391,0.0001683123,0.001734647,0.001509395,0.00005308523,0.003285338,0.009317798,0.001473162,0.0008829308,0.108631,0.8725175,0.0002376131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004672745,0.000230389,0.0004018692,0.9949657,0.002395517,0.00001729403,0.000004060785,0.000009302439,0.001508602],"genre_scores_gemma":[0.007228945,0.0001708625,0.0007485755,0.9857795,0.003570392,0.0000810733,0.000002842361,0.00001500775,0.002402723],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9189443,"threshold_uncertainty_score":0.4286686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7712232463257696,"score_gpt":0.6642263501544159,"score_spread":0.1069968961713537,"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."}}