{"id":"W2056580288","doi":"10.1089/bio.2012.1054","title":"The 2012 ISBER Annual Meeting &amp; Exhibits","year":2012,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Biobank; Political science; Biology; Computer science; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006447209,0.00008207905,0.00009515265,0.0000499729,0.0003211741,0.0000255385,0.0000543412,0.0000821543,0.00002099114],"category_scores_gemma":[0.0004602864,0.00004890232,0.00002428619,0.0001566416,0.00009198851,0.0002762374,0.00007718317,0.0001320754,0.00002972461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975111,"about_ca_system_score_gemma":0.0000174482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004608363,"about_ca_topic_score_gemma":0.00001604389,"domain_scores_codex":[0.9992015,0.00002486582,0.0001665008,0.0001463903,0.0001597263,0.0003010442],"domain_scores_gemma":[0.9994434,0.00006263296,0.00007437079,0.0002364348,0.000109322,0.0000738805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001078887,0.00006544534,0.869377,0.00009319105,0.00002771402,7.101564e-7,0.0005903876,1.468443e-7,0.0141047,0.01010197,0.02016917,0.08536168],"study_design_scores_gemma":[0.0001983921,0.00002693479,0.3618213,0.00003824939,0.00001173944,0.00001894495,0.000291911,0.000008041621,0.003375373,0.0003621472,0.6337808,0.00006623602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753056,0.008192577,0.00007385668,0.01160337,0.0002557197,0.0002616905,0.000003141474,0.000143969,0.004160128],"genre_scores_gemma":[0.9952704,0.0005656883,0.001168695,0.0005009877,0.0004884475,0.0000160514,0.00001069761,0.000008537688,0.001970545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6136116,"threshold_uncertainty_score":0.2470244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05345254101131377,"score_gpt":0.3219944912514852,"score_spread":0.2685419502401714,"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."}}