{"id":"W3200265565","doi":"10.1089/bio.2021.0078","title":"Analysis of Trends in Biospecimen Complexity in Cancer Research Over Two Decades","year":2021,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada; University of British Columbia","funders":"","keywords":"Biobank; Concordance; Biorepository; Computer science; Quality (philosophy); Data science; Bioinformatics; 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":[0.06382427,0.0004560621,0.002090229,0.03647601,0.0008121182,0.004372357,0.001548187,0.001617083,0.001634262],"category_scores_gemma":[0.2042674,0.0008937403,0.00557987,0.04743024,0.001465356,0.004738622,0.002522663,0.001332888,0.0003242664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004386961,"about_ca_system_score_gemma":0.008051545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006478017,"about_ca_topic_score_gemma":0.01230757,"domain_scores_codex":[0.9365409,0.0171148,0.02569999,0.007854961,0.01134018,0.001449195],"domain_scores_gemma":[0.4874384,0.293074,0.1551441,0.01185905,0.04907118,0.003413236],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001897317,0.0001024026,0.7478574,0.07861241,0.01752407,0.000784311,0.006591768,0.001326546,0.003003645,0.002759288,0.004750588,0.1347902],"study_design_scores_gemma":[0.00009582619,0.0005327585,0.9246866,0.03014783,0.008802745,0.001888543,0.002931026,0.001070872,0.001370494,0.001118861,0.02725139,0.00010312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3027744,0.6676238,0.004285083,0.006918263,0.0005587525,0.0006123518,0.01346838,0.0001223757,0.003636616],"genre_scores_gemma":[0.8313991,0.1477161,0.008464966,0.001828973,0.000550274,0.001177188,0.008167954,0.00008659341,0.0006086983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9361757,"threshold_uncertainty_score":0.337539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7889123724069604,"score_gpt":0.6681158194453297,"score_spread":0.1207965529616307,"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."}}