{"id":"W3135048041","doi":"10.1016/j.scijus.2021.02.004","title":"Whole bovine blood use in forensic research: Sample preparation and storage considerations","year":2021,"lang":"en","type":"article","venue":"Science & Justice","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; Trent University","funders":"Trent University","keywords":"Whole blood; Human blood; Sample (material); Viscosity; Computer science; Chemistry; Biomedical engineering; Chromatography; Materials science; Biology; Engineering; Composite material; Immunology; Physiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060645,0.0000644684,0.00009339635,0.00003117811,0.000806961,0.0001816412,0.00007529033,0.00003858257,0.00006854042],"category_scores_gemma":[0.004105405,0.00002993513,0.00001363534,0.0007957766,0.0008842096,0.000454299,0.0001594156,0.0001260054,0.00001129069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821079,"about_ca_system_score_gemma":0.00005711077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005618366,"about_ca_topic_score_gemma":0.02154624,"domain_scores_codex":[0.9988576,0.0001097626,0.000129091,0.000348546,0.0002565714,0.0002984535],"domain_scores_gemma":[0.9983028,0.001224378,0.00002562795,0.00006624439,0.0003091416,0.00007187417],"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":[0.000103072,0.0005931788,0.1114468,0.00005111178,0.00002231216,0.0003559165,0.005665388,0.000156001,0.7444338,0.1204492,0.007385697,0.009337463],"study_design_scores_gemma":[0.0004910527,0.0007577885,0.9283007,0.00007373346,0.00007592368,0.0001457667,0.0078229,0.0009802263,0.02263441,0.03219724,0.006168002,0.0003522969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966566,0.0002756775,0.000006514965,0.002036731,0.0001362681,0.00009810324,0.0000245645,0.00001850687,0.0007470137],"genre_scores_gemma":[0.9982084,0.00004079619,0.001073242,0.0003399859,0.00005921135,0.000009500726,0.00001424227,3.182001e-7,0.0002542903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8168538,"threshold_uncertainty_score":0.996308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068163703068058,"score_gpt":0.3366869738280085,"score_spread":0.2298706035212027,"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."}}