{"id":"W2558155348","doi":"10.1089/bio.2016.29013.apj","title":"The 2017 ISBER Annual Meeting & Exhibits in Toronto “Due North: Aligning Biobanking Practice with Evolving Evidence and Innovation”","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Biobank; PARRY; Library science; Biopreservation; Political science; Biology; Bioinformatics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006767733,0.0001842122,0.0002298028,0.0001623651,0.0005049048,0.0002254124,0.000198833,0.0002153462,0.00002796774],"category_scores_gemma":[0.03884165,0.0001029602,0.00002240615,0.0006912201,0.0003270184,0.001600462,0.000323299,0.0005146192,0.000005442182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339802,"about_ca_system_score_gemma":0.0002264448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996039,"about_ca_topic_score_gemma":0.02153357,"domain_scores_codex":[0.9972908,0.0001919607,0.0006375003,0.0005286249,0.0009311876,0.0004198987],"domain_scores_gemma":[0.9864127,0.01097154,0.0003718474,0.0004605499,0.001681021,0.0001023097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007017812,0.00008103728,0.9216455,0.0002586834,0.00007149469,0.00004099928,0.002337315,0.000001455616,0.02363982,0.01751593,0.0005789465,0.03312699],"study_design_scores_gemma":[0.002870671,0.0005382102,0.9423602,0.01268711,0.00008952229,0.000175891,0.004236131,0.0004267566,0.002249038,0.003133553,0.03061053,0.000622389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632916,0.004180138,0.0006691343,0.02737658,0.0001028119,0.0005580203,0.000005637599,0.00006170729,0.003754374],"genre_scores_gemma":[0.9886066,0.003920193,0.005177693,0.001002494,0.0002174832,0.00003003585,0.000005881295,0.00002283156,0.001016744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0325046,"threshold_uncertainty_score":0.9963209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2944803222766971,"score_gpt":0.4945600640260577,"score_spread":0.2000797417493606,"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."}}