{"id":"W2757659976","doi":"10.1089/bio.2017.29028.djg","title":"Cryobiology Meets Biobanking in Hefei, China","year":2017,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Biobank; Biopreservation; China; Cryobiology; Library science; Engineering; Political science; Biology; Law; Computer science; Bioinformatics; Fishery","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":[0.000795293,0.0002530475,0.0001499482,0.0008295876,0.001914926,0.000920571,0.0004668935,0.0005536407,0.004841392],"category_scores_gemma":[0.0003739225,0.0001560889,0.000154787,0.001277288,0.0007062551,0.0006662456,0.0008629601,0.0004504379,0.0002918571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600874,"about_ca_system_score_gemma":0.01231939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03470989,"about_ca_topic_score_gemma":0.0547252,"domain_scores_codex":[0.9997895,0.00003453615,0.00002097954,0.00003443114,0.00005206494,0.0000684258],"domain_scores_gemma":[0.9995497,0.00005512146,0.00007445383,0.00003229995,0.00007067874,0.0002177359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006822009,0.0003773797,0.2529211,0.001736071,0.0001419437,0.009818877,0.005993211,0.006090829,0.08895826,0.06780489,0.07681033,0.488665],"study_design_scores_gemma":[0.00006370968,0.0002532649,0.5369015,0.0002559182,0.00005677075,0.002957731,0.004784526,0.004393397,0.008233579,0.01116986,0.4308681,0.00006163076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.8223136,0.04420041,0.01420273,0.04829008,0.001166119,0.0004240267,0.001785663,0.0002810401,0.06733633],"genre_scores_gemma":[0.931245,0.00976234,0.0121852,0.002478149,0.0005347768,0.0001333514,0.001270555,0.00003040148,0.04236025],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03470989,"threshold_uncertainty_score":0.06901568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05130391992897356,"score_gpt":0.3570331666796075,"score_spread":0.305729246750634,"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."}}