{"id":"W1977576532","doi":"10.1016/j.cryobiol.2008.10.111","title":"110. Using calculated intracellular supercooling and solute concentration to interpret cell recovery following two-step and graded freezing experiments","year":2008,"lang":"en","type":"article","venue":"Cryobiology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Supercooling; Intracellular; Thermodynamics; Chemistry; Materials science; Biochemistry; Physics","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":[0.0003355003,0.0002963377,0.0003510383,0.0003366223,0.0006171092,0.0006603232,0.001000207,0.000731897,0.004534351],"category_scores_gemma":[0.0007826202,0.0002055177,0.0003234899,0.0002972862,0.0004460795,0.000686971,0.0004446414,0.0007747477,0.001271466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008211241,"about_ca_system_score_gemma":0.000525055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007733748,"about_ca_topic_score_gemma":0.007106149,"domain_scores_codex":[0.9998575,0.000007426154,0.0000121894,0.00002564674,0.00007296697,0.00002431331],"domain_scores_gemma":[0.9998391,0.00005071689,0.000009839469,0.00002822397,0.00005958138,0.00001247127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002532655,0.0001019524,0.002174783,0.00038969,0.00002802302,0.0002750517,0.0005302266,0.001839199,0.9322215,0.01104557,0.004563818,0.04657687],"study_design_scores_gemma":[0.00001922314,0.0000884845,0.007602382,0.00003494642,0.00004046378,0.0002861517,0.0002591284,0.03372447,0.9433961,0.002998485,0.01149763,0.00005254085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7308211,0.001116749,0.2143951,0.001649237,0.0008699103,0.0003284527,0.002236398,0.003325414,0.0452577],"genre_scores_gemma":[0.8490967,0.0008864283,0.1308573,0.0003425679,0.00003065183,0.0001396582,0.00146406,0.0007462532,0.01643631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007733748,"threshold_uncertainty_score":0.01537752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876590161964637,"score_gpt":0.279691861552102,"score_spread":0.2509259599324556,"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."}}