{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007650344,0.0001027579,0.0001927116,0.00007374033,0.0001712915,0.00007369993,0.0002366721,0.0001812774,0.00006678117],"category_scores_gemma":[0.01254222,0.00008360755,0.00003437846,0.0001269909,0.00006236618,0.0005116528,0.0003640513,0.0003504969,0.000002554945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004615552,"about_ca_system_score_gemma":0.0001105777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009751663,"about_ca_topic_score_gemma":0.0000686905,"domain_scores_codex":[0.9978856,0.00003079084,0.0008478516,0.0003861958,0.0004867404,0.000362809],"domain_scores_gemma":[0.997541,0.0006389176,0.0004561238,0.000878363,0.0003224217,0.0001632258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001707953,0.0004640587,0.7567161,0.0006084465,0.00004483221,0.000003075799,0.0001925518,3.74866e-7,0.1474229,0.00821098,0.0004351689,0.08573066],"study_design_scores_gemma":[0.00253203,0.0007935302,0.8986226,0.0003601352,0.0001622812,0.00002750401,0.0007602267,0.03711854,0.01793797,0.003026646,0.03820238,0.000456133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893385,0.0003375193,0.00513591,0.003989155,0.0001817181,0.0006842957,0.00007665525,0.0000762234,0.0001800831],"genre_scores_gemma":[0.9481846,0.00008791117,0.04824433,0.0009913975,0.001111924,0.0000165224,0.0009585947,0.00001997713,0.000384715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1419065,"threshold_uncertainty_score":0.9957756,"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."}}