{"id":"W2601628310","doi":"10.1016/j.forsciint.2017.03.020","title":"The application of silicon sol–gel technology to forensic blood substitute development: Investigation of the spreading dynamics onto a paper surface","year":2017,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Materials science; Newtonian fluid; Viscosity; Composite material; Nanotechnology; Range (aeronautics); Human blood; Mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003166566,0.00009215085,0.0000959731,0.00009345208,0.0003728379,0.0000668805,0.001043368,0.00005104553,0.000003064074],"category_scores_gemma":[0.0001070414,0.00006499924,0.00003480483,0.0001920789,0.0007769112,0.0002448995,0.0001212334,0.00009421469,0.000005114106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279138,"about_ca_system_score_gemma":0.0001038738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055887,"about_ca_topic_score_gemma":0.004340183,"domain_scores_codex":[0.9990134,0.0000035436,0.0002639929,0.0001679008,0.0003756977,0.0001754123],"domain_scores_gemma":[0.9991681,0.00003403776,0.00006963632,0.0004274173,0.0002627657,0.00003802085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001598925,0.0000201652,0.07720905,0.00003057926,0.00007679219,4.110631e-7,0.001046358,0.02647053,0.5626776,0.3027702,0.00005690051,0.02962547],"study_design_scores_gemma":[0.0002501936,0.00002227847,0.1562696,0.00009996506,0.00001630072,0.000006705207,0.00008416091,0.4594624,0.376562,0.006538628,0.0005394741,0.0001482047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872041,0.00001840589,0.009648846,0.0009921493,0.0005334917,0.0002153036,0.00001276213,0.00002902546,0.001345865],"genre_scores_gemma":[0.9966211,0.000006259009,0.003240503,0.00001951705,0.00002017531,0.00001651127,0.000004684465,0.000008662766,0.00006260158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4329919,"threshold_uncertainty_score":0.2867605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848685276761091,"score_gpt":0.2372735087506278,"score_spread":0.2287866559830169,"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."}}