{"id":"W1914237696","doi":"10.1002/bmb.20766","title":"A molecular genetic lab to generate inclusive and exclusive forensic evidence: Two suspects, a victim, and a bloodstained T‐shirt","year":2013,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Polymerase chain reaction; Blood Stains; Fish <Actinopterygii>; Biology; Computational biology; Psychology; Genetics; Gene; Chromatography; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001998536,0.0003336539,0.0002555472,0.0001104152,0.00018039,0.0001176209,0.0002157092,0.000351762,0.00001728342],"category_scores_gemma":[0.0005506415,0.0003117375,0.00005454683,0.000169856,0.0004824315,0.00001247738,0.0006344113,0.0001606851,0.00000722454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002776392,"about_ca_system_score_gemma":0.0004040842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009026259,"about_ca_topic_score_gemma":0.00000675175,"domain_scores_codex":[0.9981635,0.0001110494,0.0003454036,0.0007283169,0.0001604757,0.0004912957],"domain_scores_gemma":[0.9985819,0.00003386939,0.0001138613,0.0004301749,0.0003038992,0.0005362481],"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":[0.00006099156,0.0000630863,0.0009988036,0.0001245095,0.00007513045,0.000004628128,0.0002025478,0.000001935523,0.9773833,0.000156008,0.0005066854,0.02042242],"study_design_scores_gemma":[0.0007209894,0.0006721728,0.002068398,0.00008891055,0.00006617523,0.0001485134,0.0009407098,0.0001859365,0.9908886,0.001808019,0.001911711,0.000499842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843293,0.008762468,0.003089443,0.002709323,0.000112928,0.0007382979,0.00001652433,0.00001539355,0.0002262867],"genre_scores_gemma":[0.9860668,0.001644795,0.008694806,0.002731473,0.0002324884,0.0002143903,0.0001818828,0.00002674989,0.0002066765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01992257,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006984733114812309,"score_gpt":0.3028743155906453,"score_spread":0.295889582475833,"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."}}