{"id":"W1523733132","doi":"10.1089/bio.2010.0036","title":"Biospecimen Reporting for Improved Study Quality","year":2011,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Lawrence Berkeley National Laboratory; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Quality (philosophy); Chemistry; Computer science; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0008438159,0.0001000952,0.0001350783,0.00002982584,0.0001233995,0.00002398308,0.0001074393,0.0001145461,0.00001230859],"category_scores_gemma":[0.0006946211,0.00008149018,0.0000471606,0.00005856714,0.00006452022,0.000004189927,0.0001047085,0.00004098535,6.864558e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004745012,"about_ca_system_score_gemma":0.00001895848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001347918,"about_ca_topic_score_gemma":0.00006693629,"domain_scores_codex":[0.9989709,0.00003466262,0.0004536826,0.0003113522,0.00006437088,0.0001650616],"domain_scores_gemma":[0.9992871,0.00001483782,0.0003559196,0.0002114598,0.00008589349,0.00004481362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002981645,0.000285582,0.3391002,0.00004374486,0.0001027883,0.000001471073,0.0007199205,6.657447e-8,0.5823011,0.0003655063,0.0008256632,0.07595585],"study_design_scores_gemma":[0.001792601,0.001527464,0.8461244,0.00001953591,0.00003856956,0.000006833121,0.002279003,0.000171179,0.1076305,0.0009961677,0.03898313,0.0004306236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953881,0.0001968437,0.003253024,0.0001729324,0.0001219873,0.0003338125,0.000008426887,0.00003686756,0.0004880316],"genre_scores_gemma":[0.989901,0.00001669807,0.009333472,0.0002075635,0.0001398029,0.00003877006,0.00004273281,0.000009092745,0.000310886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5070242,"threshold_uncertainty_score":0.3323073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2255740967947923,"score_gpt":0.3786845856041243,"score_spread":0.153110488809332,"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."}}