{"id":"W2316884755","doi":"10.1089/bio.2014.0008","title":"A Practical Tool for Modeling Biospecimen User Fees","year":2014,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; BC Cancer Agency; University of Manitoba; Queen's University; Alberta Health Services; University of Calgary; University of Alberta; Ontario Institute for Cancer Research","funders":"University of British Columbia","keywords":"Biobank; Calculator; Computer science; Data science; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002495567,0.00008941026,0.0001681056,0.00007121305,0.0001393637,0.00008225549,0.00007370674,0.0002445063,0.00005049094],"category_scores_gemma":[0.01094376,0.00007092102,0.00005789173,0.0001078952,0.00007394024,0.0001503136,0.0001001417,0.0003705446,0.00001262761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002730187,"about_ca_system_score_gemma":0.00008734251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002593868,"about_ca_topic_score_gemma":0.00001894763,"domain_scores_codex":[0.9987157,0.00003862931,0.000296061,0.0002945142,0.000433883,0.0002212283],"domain_scores_gemma":[0.9972494,0.0019421,0.00005464243,0.0002494636,0.0004106391,0.00009376298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001099638,0.0003510956,0.1414604,0.0008830104,0.0001034329,0.000005205774,0.0002513659,0.00003105354,0.04394751,0.7874299,0.003457174,0.02098021],"study_design_scores_gemma":[0.004769073,0.001090437,0.03241108,0.0006611003,0.0001262263,0.0000252877,0.0001986176,0.7209457,0.007771926,0.1211162,0.1103999,0.0004845631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231233,0.00008025696,0.1334371,0.0403926,0.0001318638,0.000689009,0.000005389675,0.00009437768,0.002046179],"genre_scores_gemma":[0.9402577,0.0001507279,0.05552043,0.002046902,0.0004271786,0.00003505109,0.00002377207,0.00001800646,0.001520191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7209146,"threshold_uncertainty_score":0.9973875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5567245406386347,"score_gpt":0.5597661970775345,"score_spread":0.003041656438899754,"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."}}