{"id":"W1966416220","doi":"10.1089/bio.2012.0033","title":"An Online Tool for Improving Biospecimen Data Element Reporting","year":2012,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Biobank; Biorepository; Documentation; Medicine; Data science; Data quality; Computer science; Bioinformatics; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1798688,0.002624714,0.002788572,0.04284858,0.002037101,0.006386132,0.004353194,0.00284145,0.1310723],"category_scores_gemma":[0.4507972,0.002712112,0.00226955,0.02150563,0.001173759,0.01044535,0.007951351,0.005192131,0.05024194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003351913,"about_ca_system_score_gemma":0.01326976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001941778,"about_ca_topic_score_gemma":0.002554877,"domain_scores_codex":[0.8724017,0.04875857,0.0522223,0.004804853,0.01965653,0.002156153],"domain_scores_gemma":[0.2408807,0.5158802,0.08773575,0.05965992,0.08838958,0.007454019],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001396213,0.0009006072,0.01479734,0.00722113,0.0002453593,0.0005134488,0.002520933,0.0008465079,0.003734592,0.004982867,0.5567645,0.4060765],"study_design_scores_gemma":[0.001306751,0.0006620697,0.04287253,0.006203373,0.0002518344,0.0007304485,0.001647401,0.007411141,0.01400621,0.01223874,0.9119118,0.0007578041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.02526309,0.001998704,0.3211449,0.01712327,0.005582645,0.03690646,0.3488132,0.1962635,0.0469042],"genre_scores_gemma":[0.03370393,0.001170702,0.7895018,0.004357691,0.001498052,0.05207223,0.08588567,0.01043984,0.02137012],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.8201312,"threshold_uncertainty_score":0.9512486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7618999231863489,"score_gpt":0.5948417905435542,"score_spread":0.1670581326427947,"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."}}