{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009583258,0.00007910847,0.0001339151,0.0000416354,0.0001595148,0.00002508901,0.0003831693,0.00007474688,6.701518e-7],"category_scores_gemma":[0.0004118544,0.00004553906,0.00007383541,0.0001470376,0.0003184183,0.000007622914,0.00002360054,0.00004297718,7.913657e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007080735,"about_ca_system_score_gemma":0.0005260883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000164695,"about_ca_topic_score_gemma":0.00001434312,"domain_scores_codex":[0.9992179,0.00001888264,0.0003165574,0.000143973,0.0001467143,0.0001560316],"domain_scores_gemma":[0.998874,0.00007714199,0.0002838764,0.0001176001,0.0005713623,0.00007603965],"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":[0.00036605,0.0007194234,0.02028572,0.0001380211,0.0005372896,0.000002519453,0.001831926,0.002652614,0.8464417,0.01188334,0.04205745,0.07308388],"study_design_scores_gemma":[0.0003525125,0.001229969,0.0009690138,0.00002110741,0.00004487115,0.0000406641,0.001691363,0.001417295,0.9779829,0.002598162,0.0135965,0.00005568908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.855179,0.0002805154,0.1439124,0.0002023938,0.00005721712,0.0002895419,0.0000145095,0.000003021815,0.00006144517],"genre_scores_gemma":[0.9140137,0.00001088311,0.08568348,0.00007882837,0.0001270092,0.00004597729,0.00001613965,0.000005002739,0.00001901832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1315411,"threshold_uncertainty_score":0.1857029,"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."}}