{"id":"W2166373846","doi":"10.1111/1556-4029.12753","title":"An Accelerated Analytical Process for the Development of <scp>STR</scp> Profiles for Casework Samples","year":2015,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vanier College; Royal Canadian Mounted Police","funders":"","keywords":"STR analysis; Computer science; Turnaround time; Profiling (computer programming); DNA profiling; DNA extraction; Computational biology; Spectrum analyzer; Lysis; Identification (biology); Microsatellite; DNA; Biology; Polymerase chain reaction; Molecular biology; Genetics; Operating system; Telecommunications; Gene","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":[0.003094685,0.001152672,0.0006857027,0.001811657,0.0007340473,0.0009215337,0.00102911,0.0009880343,0.00270097],"category_scores_gemma":[0.00370849,0.0007837677,0.0007790649,0.001372434,0.0006407211,0.0007102882,0.001329041,0.001561793,0.002601594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395602,"about_ca_system_score_gemma":0.002081455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008194611,"about_ca_topic_score_gemma":0.00173987,"domain_scores_codex":[0.9960964,0.001126386,0.0002036586,0.0007491451,0.001667264,0.0001571271],"domain_scores_gemma":[0.9980203,0.0004721713,0.0003415646,0.0003278229,0.0007262403,0.0001119583],"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":[0.000311289,0.000220778,0.003575915,0.000385924,0.00006327424,0.0004861828,0.0003298926,0.0008379446,0.8956162,0.001049314,0.001237704,0.09588546],"study_design_scores_gemma":[0.00009880176,0.001234919,0.01994362,0.0001851286,0.0002720034,0.005691706,0.0001834394,0.01538904,0.9084513,0.0013115,0.04703959,0.0001989215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1227759,0.001839041,0.867044,0.0003239614,0.0001455463,0.001837126,0.0008676861,0.002419663,0.002747109],"genre_scores_gemma":[0.08362067,0.001099342,0.9110156,0.0001408644,0.0000479009,0.0008442681,0.0009652802,0.0001853423,0.002080777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003094685,"threshold_uncertainty_score":0.01636648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125233387038207,"score_gpt":0.3924552387379465,"score_spread":0.2799319000341258,"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."}}