{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03114333,0.0007167978,0.001439266,0.005175356,0.004764447,0.01079677,0.003171141,0.006505496,0.007452198],"category_scores_gemma":[0.05071878,0.0007017576,0.0006450677,0.001565813,0.0314546,0.01134334,0.006877951,0.008087389,0.00173385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006155818,"about_ca_system_score_gemma":0.0136628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187235,"about_ca_topic_score_gemma":0.01288644,"domain_scores_codex":[0.9859468,0.005468776,0.0008782151,0.001448236,0.005588646,0.0006693452],"domain_scores_gemma":[0.9265724,0.04191057,0.002662087,0.008822396,0.01409239,0.005940182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001991972,0.0003381401,0.01582025,0.001364338,0.00008560895,0.001311131,0.005386749,0.0005264864,0.005723263,0.4646797,0.06748067,0.4370844],"study_design_scores_gemma":[0.00004922515,0.0001498328,0.005646095,0.003324574,0.00008940407,0.003213935,0.009671714,0.001021556,0.003917982,0.5560133,0.4167821,0.0001203113],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.03114236,0.1728212,0.1242834,0.5434197,0.01875812,0.0002332004,0.000524807,0.0006182287,0.1081991],"genre_scores_gemma":[0.5949413,0.1254299,0.09163071,0.1163579,0.01478728,0.0002678902,0.0004215031,0.0005347449,0.05562885],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03114333,"threshold_uncertainty_score":0.1647036,"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."}}