{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003825879,0.000121797,0.0002316521,0.0001940282,0.0003321194,0.00006489333,0.0001585536,0.0001718113,0.0000285753],"category_scores_gemma":[0.0006488273,0.00009700902,0.00003119797,0.00009637984,0.0001943284,0.0002111128,0.0001671205,0.0001905137,0.000007549545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005105647,"about_ca_system_score_gemma":0.00005475169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005565693,"about_ca_topic_score_gemma":0.000082117,"domain_scores_codex":[0.9989966,0.00002179647,0.0002358562,0.0003697349,0.0001083267,0.0002676478],"domain_scores_gemma":[0.9991626,0.00001707686,0.0001660968,0.0005490065,0.0000557787,0.00004939839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009498598,0.00004392248,0.9198059,0.00009060265,0.00001000177,0.00001940942,0.0001382194,2.624826e-7,0.02785597,0.005327469,0.0001247042,0.04648853],"study_design_scores_gemma":[0.0007679754,0.0001118324,0.9724479,0.0001222656,0.000007748727,0.00002868689,0.00005297763,0.0001356267,0.007538044,0.002887008,0.0157949,0.0001050934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97567,0.0009288585,0.00003301633,0.01944004,0.0001906025,0.0003156343,0.000002199772,0.0001052635,0.003314372],"genre_scores_gemma":[0.9978421,0.0004011069,0.001051858,0.0003267778,0.0001360091,0.000017193,0.00001317512,0.000009108799,0.0002026588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05264192,"threshold_uncertainty_score":0.3955913,"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."}}