{"id":"W3196668880","doi":"10.1089/bio.2017.29024.apj","title":"The 2017 ISBER Annual Meeting & Exhibits: “Due North: Aligning Biobanking Practice with Evolving Evidence and Innovation”","year":2017,"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; Biology; Bioinformatics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.02329067,0.001142667,0.0009497929,0.001490961,0.01105377,0.01368965,0.001908608,0.01603484,0.07857934],"category_scores_gemma":[0.024766,0.0007546807,0.001356135,0.001247166,0.005587967,0.005144564,0.008578998,0.01513109,0.04051245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005219343,"about_ca_system_score_gemma":0.02086248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007450548,"about_ca_topic_score_gemma":0.04321471,"domain_scores_codex":[0.9898534,0.00255504,0.000432942,0.0006846251,0.004469371,0.002004566],"domain_scores_gemma":[0.9768409,0.004892557,0.001165461,0.001277009,0.005367362,0.01045684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001459569,0.00002535618,0.0002141732,0.00004891716,0.000003242847,0.00007792332,0.0001539096,0.00003192771,0.0001895733,0.002252816,0.9907895,0.006198191],"study_design_scores_gemma":[0.000008987189,0.00001636754,0.001623115,0.0001146939,0.000003355914,0.00005444369,0.0007341062,0.00007513803,0.0002307432,0.002249543,0.9948707,0.00001885062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002858501,0.002745966,0.001512407,0.6991526,0.1425446,0.000207189,0.0004726926,0.000268173,0.1502378],"genre_scores_gemma":[0.02445589,0.003244937,0.003761245,0.1707297,0.07615277,0.0003168462,0.0007542456,0.0009312562,0.7196531],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07857934,"threshold_uncertainty_score":0.2628741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4183698858563308,"score_gpt":0.517933484279775,"score_spread":0.0995635984234442,"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."}}