{"id":"W1979265498","doi":"10.1111/j.1537-2995.2007.01540.x","title":"The consensus development process in transfusion medicine: does it add value?","year":2007,"lang":"en","type":"letter","venue":"Transfusion","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Transfusion medicine; Psychological intervention; Reimbursement; Medicine; Delphi method; Health care; Business; Risk analysis (engineering); Public relations; Political science; Blood transfusion; Economic growth; Nursing; Computer science; Immunology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00715783,0.0004284485,0.0004962998,0.0005294529,0.001463276,0.00009562156,0.00135395,0.001500983,0.0007755703],"category_scores_gemma":[0.0004436036,0.0002584315,0.0001242631,0.001119442,0.00148414,0.00007510907,0.00003830965,0.003221217,0.00004507961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005322725,"about_ca_system_score_gemma":0.001216456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009289533,"about_ca_topic_score_gemma":0.07067726,"domain_scores_codex":[0.9928796,0.0008999154,0.0009520844,0.0007578451,0.003227726,0.001282802],"domain_scores_gemma":[0.9967756,0.002133854,0.0001391019,0.000463789,0.0003351332,0.0001525403],"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":[0.0002048748,0.00007303873,0.0003172317,0.000367347,0.00003182311,0.0007022966,0.06046085,0.000003658471,0.0003202168,0.0002755492,0.884288,0.05295513],"study_design_scores_gemma":[0.0005210639,0.00006115656,0.0001909289,0.0008694291,0.00002017009,0.000005804406,0.006436893,0.000008253031,0.000843164,0.001611724,0.9890319,0.0003995445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01698458,0.0003552219,0.0003535778,0.9312737,0.001016416,0.002690214,0.000009493851,0.000274042,0.04704276],"genre_scores_gemma":[0.06694777,0.06405751,0.002994081,0.7874466,0.0175909,0.002487055,0.000417232,0.0007681834,0.05729067],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1438271,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08068260610745963,"score_gpt":0.4224034485316683,"score_spread":0.3417208424242087,"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."}}