{"id":"W4386573889","doi":"10.1016/j.tmrv.2023.150757","title":"Optimizing Informed Consent Discussions: Developing a Narrative for Transfusion Consent","year":2023,"lang":"en","type":"article","venue":"Transfusion Medicine Reviews","topic":"Ethics in medical practice","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences; University of Toronto; McMaster University; Canadian Blood Services; McMaster University Medical Centre","funders":"","keywords":"Informed consent; Narrative; Medicine; Psychology; Alternative medicine; Philosophy; Pathology","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":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01645803,0.0005042377,0.001440962,0.0004084891,0.00336066,0.000009799,0.0004362616,0.0005478245,0.00211598],"category_scores_gemma":[0.05186697,0.0003078523,0.0002849447,0.001377953,0.0005855879,0.000252813,0.0000938684,0.003072217,0.0006608628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235716,"about_ca_system_score_gemma":0.002184875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006341072,"about_ca_topic_score_gemma":0.006253348,"domain_scores_codex":[0.9903194,0.004182672,0.002748656,0.0007177034,0.0009650115,0.001066608],"domain_scores_gemma":[0.9558687,0.04193329,0.0006214866,0.0006232313,0.000430779,0.0005225278],"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":[0.0009983584,0.000150737,0.0007190088,0.02602945,0.000160381,0.00005229338,0.3812506,0.00001895303,0.01190318,0.02477301,0.4810354,0.07290867],"study_design_scores_gemma":[0.005677163,0.0003896097,0.000265792,0.03268711,0.0002751699,0.0000146192,0.09959474,0.00028217,0.0001014422,0.005145421,0.855011,0.0005558062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03865801,0.02045082,0.2980539,0.5527449,0.0116171,0.03526021,0.00007350543,0.001749918,0.04139156],"genre_scores_gemma":[0.001777408,0.9511899,0.01831927,0.01718429,0.001175564,0.003623973,0.0002600392,0.0001112998,0.006358234],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9307391,"threshold_uncertainty_score":0.9999374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3729437082766107,"score_gpt":0.5579268213056567,"score_spread":0.1849831130290461,"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."}}