{"id":"W4236639838","doi":"10.1089/bio.2010.8103","title":"Extreme CRYO 2010 Abstracts","year":2010,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryobiology; Library science; Engineering ethics; Biology; Computer science; Engineering; Cryopreservation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003107201,0.00007773241,0.0001063954,0.00004630759,0.00008791662,0.00001618244,0.00004377365,0.0001425114,0.0001696041],"category_scores_gemma":[0.0002271338,0.00005859553,0.00002880463,0.00006915878,0.0000962917,0.0001054011,0.00002309815,0.0002128953,0.00002149195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005146599,"about_ca_system_score_gemma":0.00002035629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004291333,"about_ca_topic_score_gemma":0.0000251873,"domain_scores_codex":[0.9993922,0.00001148268,0.0001528223,0.0002385776,0.00008457713,0.0001203526],"domain_scores_gemma":[0.9995326,0.00001727635,0.0000524912,0.0002400798,0.00009513404,0.00006239579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002623606,0.00005864108,0.2974142,0.00001411759,0.00000917125,0.000003174991,0.00004390103,4.264334e-8,0.6842984,0.0003351532,0.0006322732,0.01692851],"study_design_scores_gemma":[0.0002720813,0.00005390695,0.9561959,0.000009430245,0.00001208788,0.00002193077,0.00001141057,0.00005943158,0.02023749,0.0007969282,0.02226585,0.00006355549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907582,0.0001094006,0.0000235881,0.003911923,0.0003362792,0.0001515127,0.000001598746,0.00005717448,0.004650319],"genre_scores_gemma":[0.9969431,0.00002141007,0.001170992,0.0005357317,0.0003037849,0.000003158606,0.00002245273,0.000003981613,0.0009953441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6640609,"threshold_uncertainty_score":0.2389456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06850852017106696,"score_gpt":0.2907494577864599,"score_spread":0.222240937615393,"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."}}