{"id":"W4205972055","doi":"10.1163/2210-7975_hrd-9985-20180082","title":"Societal Support for Paying Plasma Donors in Canada","year":2019,"lang":"en","type":"dataset","venue":"Human Rights Documents online","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plasma; Political science; Business; Physics; Nuclear physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009511005,0.0006591172,0.0006895323,0.005338613,0.001953964,0.00309899,0.00180754,0.001100185,0.01929276],"category_scores_gemma":[0.0105103,0.0004574114,0.0009333582,0.0160484,0.0004529156,0.0007658679,0.001416809,0.001869173,0.00440834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02791592,"about_ca_system_score_gemma":0.05037908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930648,"about_ca_topic_score_gemma":0.9954355,"domain_scores_codex":[0.9987225,0.0001025536,0.0001112348,0.0001524751,0.0004688517,0.0004424267],"domain_scores_gemma":[0.9912307,0.001031089,0.0009796707,0.0003445469,0.005084324,0.001329619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001091224,0.00003084297,0.03912424,0.0003611777,0.0000771792,0.00006678986,0.000308829,0.0007794846,0.0000325164,0.002034748,0.9502844,0.006790699],"study_design_scores_gemma":[0.0001580946,0.0000181486,0.4063441,0.0009199223,0.0001331022,0.0001110397,0.002668141,0.002461808,0.000278057,0.0009655582,0.5858519,0.00009020631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00650111,0.0004451415,0.00004171439,0.001107129,0.00003613903,0.0000182276,0.987563,0.00005900388,0.004228606],"genre_scores_gemma":[0.05007645,0.001308836,0.0004324373,0.0005846972,0.00004995439,0.0001425498,0.9338809,0.00006440388,0.01345988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02791592,"threshold_uncertainty_score":0.2025451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932525959423275,"score_gpt":0.2935382452094776,"score_spread":0.2642129856152449,"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."}}