{"id":"W4360868816","doi":"10.26434/chemrxiv-2023-kjwkq-v2","title":"Alginate/Xanthan gum hydrogels as forensic blood substitutes for bloodstain formation and analysis.","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Trent University","funders":"","keywords":"Xanthan gum; Self-healing hydrogels; Chemistry; Chemical engineering; Materials science; Biomedical engineering; Chromatography; Composite material; Polymer chemistry; Medicine","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":[0.0002300911,0.0002930312,0.00009345252,0.0001869543,0.0001041448,0.000217013,0.0001412968,0.0002376523,0.0003287531],"category_scores_gemma":[0.0002204646,0.0001312614,0.0001938372,0.0001248455,0.000106732,0.0002509965,0.0001806122,0.0002145475,0.0001157645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811649,"about_ca_system_score_gemma":0.0001439353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004475622,"about_ca_topic_score_gemma":0.001189267,"domain_scores_codex":[0.9998969,0.00002459689,0.000008702755,0.00001546579,0.00004078819,0.00001355008],"domain_scores_gemma":[0.9998847,0.00002781411,0.00003923604,0.000007457071,0.00002088378,0.00001995378],"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":[0.00005297501,0.00002255614,0.000208053,0.00009470531,0.000006015741,0.00005406711,0.00002515024,0.0006828257,0.9936076,0.0001472057,0.0000576461,0.005041159],"study_design_scores_gemma":[0.000005380971,0.0002703907,0.0006832645,0.00001189617,0.0000192342,0.0001403496,0.00001723197,0.00538501,0.9910001,0.00004693154,0.002410538,0.000009626187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726725,0.005144963,0.01963452,0.0001495255,0.00007761168,0.00006854579,0.0001591535,0.0000899248,0.002003287],"genre_scores_gemma":[0.9719176,0.00249294,0.02359002,0.00005407745,0.000007551422,0.00004527048,0.00009927933,0.00001913162,0.00177424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004475622,"threshold_uncertainty_score":0.001314461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414503686675175,"score_gpt":0.3006320088783086,"score_spread":0.2764869720115569,"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."}}