{"id":"W2567677177","doi":"10.1089/bio.2016.0053","title":"Quality Matters: 2016 Annual Conference of the National Infrastructures for Biobanking","year":2016,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency; Università degli Studi di Trieste; Medical Research Council; Università degli Studi di Firenze; Agence Nationale de la Recherche","keywords":"Art history; Library science; Art; Humanities; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02627883,0.001908452,0.00111695,0.002330675,0.00356418,0.01290486,0.002837123,0.007917648,0.08611085],"category_scores_gemma":[0.01958193,0.0006193961,0.001366362,0.001924476,0.002393701,0.005622595,0.007362664,0.006967928,0.03582658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006645141,"about_ca_system_score_gemma":0.02314002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008886512,"about_ca_topic_score_gemma":0.01430148,"domain_scores_codex":[0.9885963,0.001631478,0.0007930312,0.001008883,0.006680732,0.00128964],"domain_scores_gemma":[0.9735065,0.001706211,0.001992327,0.001490144,0.01410894,0.007195845],"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":[0.00007583727,0.00005994721,0.0009636636,0.0002644631,0.00001478251,0.00009256681,0.0001610731,0.0001623746,0.0006169293,0.003558797,0.9267451,0.06728444],"study_design_scores_gemma":[0.000005122979,0.0000134956,0.0009757876,0.0002262235,0.000004476224,0.00004107216,0.0001222765,0.00009240091,0.0001859203,0.001354673,0.9969698,0.000008857397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003769037,0.06899716,0.009650056,0.5200191,0.214887,0.0009706889,0.00261731,0.001169162,0.1779205],"genre_scores_gemma":[0.03801421,0.06261024,0.01448428,0.06234863,0.08365224,0.001139543,0.008997196,0.001838441,0.7269152],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08611085,"threshold_uncertainty_score":0.2880695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03748489419126498,"score_gpt":0.3169721261142526,"score_spread":0.2794872319229876,"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."}}