{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002682753,0.0004383136,0.000528358,0.0003826387,0.0003701648,0.0003625073,0.0006050158,0.0001947524,0.00579499],"category_scores_gemma":[0.00001984212,0.0003723619,0.0001430797,0.0002197538,0.00002996087,0.001339625,0.0001443005,0.0004756669,0.0002873873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376441,"about_ca_system_score_gemma":0.0003401772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8367496,"about_ca_topic_score_gemma":0.9902114,"domain_scores_codex":[0.9976912,0.00001496295,0.000709956,0.0005998936,0.0005066588,0.0004773217],"domain_scores_gemma":[0.9987055,0.00009932578,0.0006143157,0.0004184161,0.0001346771,0.00002775181],"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":[0.00003574116,0.0002763164,0.0003830466,0.0004453852,0.0001006108,0.00003749462,0.000004164521,0.00001409161,0.000001988701,0.0006447976,0.9978967,0.0001596813],"study_design_scores_gemma":[0.00236352,0.00001475998,0.0004416209,0.00007768154,0.000206224,0.000001768634,0.00004351933,0.0001364167,0.000003135902,0.0008645253,0.9953589,0.0004879005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03389125,0.00002097076,0.000003170185,0.0006973357,0.002200931,0.001281251,0.9605267,0.00004491992,0.001333488],"genre_scores_gemma":[0.003756071,0.00002188703,0.00007085163,0.002718633,0.0008604305,0.00005964211,0.9902394,0.0000381967,0.002234873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1534618,"threshold_uncertainty_score":0.9998728,"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."}}