{"id":"W4404296784","doi":"10.29173/cjen296","title":"Forensic DNA analysis - invisible science","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computational biology; Data science; Computer science; Psychology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006190798,0.00009003566,0.0001400659,0.0005378122,0.0002351469,0.00002884559,0.0002698813,0.00005694743,0.0003052301],"category_scores_gemma":[0.0003462399,0.00008433612,0.0001695922,0.001127283,0.0003372888,0.000008893409,0.000005640316,0.00009885083,0.000004387578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006733151,"about_ca_system_score_gemma":0.001906186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002900816,"about_ca_topic_score_gemma":0.003845437,"domain_scores_codex":[0.9988388,0.00004617515,0.000280685,0.0001751442,0.0002292407,0.0004299195],"domain_scores_gemma":[0.9985926,0.000002906865,0.0001029165,0.0002415563,0.0004338912,0.0006261663],"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":[0.0000790327,0.0001252871,0.2298991,0.00003115172,0.001388746,0.0001496304,0.00194012,0.004259617,0.5658191,0.009243554,0.1174936,0.069571],"study_design_scores_gemma":[0.001370922,0.001844337,0.1099336,0.0001613623,0.001019345,0.0005901528,0.003355792,0.0005202933,0.7269263,0.01251168,0.1405409,0.001225278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818301,0.002843275,0.002383138,0.0002092423,0.001153654,0.00004727898,0.000003654556,8.423922e-7,0.01152879],"genre_scores_gemma":[0.9980314,0.00007764497,0.001182565,0.00003961547,0.0001345943,4.149137e-7,0.000003343925,0.000009001535,0.0005214174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1611072,"threshold_uncertainty_score":0.3439127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253500413803088,"score_gpt":0.315213354015382,"score_spread":0.2926783498773511,"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."}}